Category Archives: Uncategorized

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Views on Childhood Innocence

This post will provide a summary of the article “Queer Futurity and Childhood Innocence: Beyond the Injury of Development” by Hannah Dyer. The article addresses what the author believes are several erroneous assumptions that professionals have about child development and sexuality. By disrupting these misunderstandings the author claims that it will help children.

The author begins the paper by stating that there is a mistake in assuming that children are a-sexual and will soon be heterosexual as they mature. From there, the author builds this argument and concludes the paper with a critique of a video that makes the argument that being homosexual becomes easier once leaving school.

Introduction

It is important to explain several terms before exploring the paper in detail. The word “queer” usually means strange, however, in the context of queer theory “queer” means to challenge whatever is considered “normal.” Queer wants to unsettle all established norms even norms regarding homosexuality. For proponents of queer theory, anything normal can be considered problematic. Queer means deviance from anything normative whether gay or straight. In other words, there can be no identities as everything is always in a state of unsettled flux.

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A word that appears in the title of the paper is “futurity.” Futurity in the context of queer theory is a criticism of current problems faced by queer people using ideas from several places such as historicism, utopianism, as well as death drive (negative views of non-traditional sex acts).

The author states that queer theory sees childhood as a place of heteronormative intervention. In other words, childhood is an assault on assuming that children will pursue traditional sexuality. The author provides a quote that it “is open season on gay kids” without providing any statistics to support this. For the author, there appears to be little support for raising children who are homosexual. However, this assumes that children are sexual which is an assumption that the author makes and is counter to the traditional assumption that children are not sexual.

Dyer continues by stating that early childhood theories avoid topics on sexuality because there is an assumption of innocence. The author disagrees with this and uses the term “figure of the Child” which is another way of stating this assumption of innocence. The phrase “figure of Child” is a term borrowed from queer theory. The word “Child” is deliberately capitalized.

For the author, one step in the reform of early childhood theories on development is to get rid of this assumption of innocence. This is because current theories supposedly reduce children to figures without complexity (things are always too simple for critical theorists). The current theories could harm children as they exclude the possibility of the child possessing a queer nature. However, no statistical support is given for this statement.

Another critique the author provides is her concern with childhood education wanting to stabilize and define queerness as an identity. As mentioned earlier, for Dyer, queerness is contingent and cannot be permanently defined. This is because the definition will change as what is normal changes. Since queer theory is always against normativity, its definition will change with whatever is considered normal. Right now, heterosexuality is considered normal so queer theory is in opposition to this. If heterosexuality were no longer considered normal queer theory would move on and attack whatever else is now “normal.” There will never be any fixed definitions for supporters of this theory for almost anything. For example, gender is now considered fluid.

Dyer states that queer theory provides advances in the care of children through methodology, pedagogy, and epistemology. For methodology in particular, queer theory can disrupt the assumption of sequential steps towards normalcy, which may not apply to every child. Queer theory can also help analyze how normativity is reproduced. Reproduction is a frequent complaint of Marxists with the complaint that the existing society wants to reproduce itself and one vehicle for this reproduction is education. Lastly, Dyer speaks of the need to loosen parameters around normative development as queerness destroys identity and does not support the development of identities.

Making Childhood Education “Get Better”

The final section of the paper is a critique of “It Gets Better” a video created to support youth with alternative sexual preferences. Essentially, the video states that having an alternative sexual preference will be easier as an adult. However, the author critiques this argument as untrue. In addition, Dyer criticizes this video for not taking race and class into account. As such, this video falls short of supporting kids who it claims to help.

Conclusion

This article provides an insight into what queer theory is and what it is trying to do. However, one article cannot speak for an entire field. The ideas presented here of overturning anything normal are shocking but may not be something that everybody in this domain agrees with. 

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Project-Level Evaluation

Evaluation plays a critical role in assessing the value that a program/project has delivered. Here we will look at the various evaluations that are a part of a project evaluation.

Context

A context evaluation allows the evaluators to assess the needs and resources of the local community to determine a plan for effective action. Generally, this type of evaluation happens before the program is running. In addition, this type of evaluation also allows for the evaluation team to get a sense of the local political situation and support for the program. All of this knowledge helps the team to determine the strengths and weaknesses of the local context.

The tools involved in this assessment can include a full-on development of a needs assessment. This can include identifying local leaders in the community, gaps in service, and opportunities to support the community. Context assessments can also be used to look at the team running the program.

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The primary goal of a context evaluation is to develop an understanding of the target population and the community within which the target population is found. You want to get into the community found who are the influencers and see how you project can fit into that situation positively.

Implementation

Implementation evaluation happens while a project is going. Among the many goals of this is to see if he goals of the program match with the needs of the target population. Sometimes the best intentions do not benefit the people we are trying to help. Another goal is to identify and minimize barriers to implementation.

Other goals of this evaluation include monitoring the experiences of stakeholders with a project. In other words, determines what the local community thinks of the program after it is implemented. Lastly, implementation evaluation looks at evidence for systemic change or the impact the program is having on the community as a whole.

Outcome

Outcome evaluation is used to determine the type of outcomes you want from a program. By outcomes, it means the influence your program has on the target population or the people who are actually in the program. How this is measured will depend on the project.

There are two types of outcomes and these are individual outcomes and program outcomes. Individual outcomes look at the influence a program has on an individual person. For example, this could include changes in a person’s quality of life, status, or situation. Program outcomes look at the impact of the general services of a program such as improving access, expanding services, etc. How this is measured varies but the focus is always either on the individual or the program. The results of an outcome evaluation help to determine if a program should continue and what is currently working or not working.

There are several questions to consider when attempting an outcome evaluation. Below is a list

  • Who are you serving
  •  what are the outcomes
  •  How will you measure
  •  What data are you collecting
  •  Purpose of results
  •  Performance targets

Most of the bullets above are standard to research and will not be discussed here. What may be new is the term performance target. A performance target are benchmark set that helps to establish the standard for what is considered good or bad performance. For example, a reading comprehension program might set a benchmark of 75% of the students reading at grade level by the end of the program. This sets a standard by which to assess the quality of the program.

Conclusion

Program evaluation is a critical component of the grant process. Once money has been spent, the evaluation helps to determine if the money was spent wisely helping people based on whatever the goals of the grant were.

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Cells & Genetic Changes

Cells can adjust and change their DNA in marvelous ways. We will look at five ways the cells adjust on a genetic level to survive. These five ways are

  • Transposition
  • Horizontal gene transfer
  • Epigenetics
  • Symbiogenesis
  • Hybridization

Transposition

Transposition is the process of cells rearranging their DNA. This process was first discovered by Barbara McClintock. In her experiments, McClintock deliberately damaged corn DNA to inhibit reproduction. The corn would pull genetic code from other places in the chromosome to maintain the ability to reproduce. In other words, the cells would take DNA from one place and insert it into another place to maintain stability and full functioning.

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How fast transposition can take place varies. For the corn experiments of McClintock, it could happen within one generation, which was the generation with the damaged DNA. In other situations, transposition could happen within a few hours, which was found among some forms of protozoan.

The implications for this include that cells know when DNA is damaged and they know how to fix this problem using other pieces of their DNA. This requires a level of mysterious intelligence that few are willing to admit that cells have.

Horizontal gene transfer

Horizontal gene transfer is the exchange of DNA between organisms. Not only do cells have internal mechanisms to fix DNA, but they can also exchange DNA with other cells. An example of this is bacteria that are resistant to antibiotics. What sometimes happens is one bacterium figures out how to resist the drugs and share this DNA with other bacteria through horizontal gene transfer.

What this means is not only do cells manipulate their DNA but when they have success they can share this with other cells. The other cells are then able to incorporate this “foreign” code into their system and have similar results.

Epigenetics

Epigenetics is the process of turning genes on and off. This is where nature vs nurture can play a critical role in development. In one experiment with rat pups, pups licked and nurtured by the mother were better able to deal with stress. This implies that the nurturing of the mother activates genes that allow for better processing of stress.

A relatable example would be weight training. Under the stress of weights, the body is transformed. Muscles get bigger, cardio improves, etc. The changes last as long as the person continues to work out. However, even if somebody stops the “memory” of these changes remains and the person can regain a great deal of the muscle just by returning to weight training.

Therefore, not only can cells manipulate their DNA and share DNA with others, but the environment itself can cause genes to shut on and off.

Symbiogenesis

Symbiogenesis is the merging of cells to cooperate. Lichen is an example of fungus and algae working together to live. Another example is chloroplast, chloroplast is an algae embedded inside plant cells.

Living cells can essentially become “one” in an attempt to have the best success at survival. This makes light of the survival of the fittest in which nature is seen as a battlefield of competition. In reality, alliances are formed for the sake of survival.

Hybridization

Hybridization is two species mating to produce a new species. Examples include tigers and lions coming together to make a liger. Or more commonly a donkey and horse making a mule.

Hybridization is genetic change at light speed. New creatures can be developed overnight with this process. However, as mentioned previously, there is a high risk of creating a genetic dead end that cannot reproduce.

Conclusion

All of the examples here indicate that changes within organisms can happen much faster than the idea of millions of years. Gene modification happens in a self-aware way that seems to defy logic and sense.

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Repressive Tolerance

Repressive Tolerance is a famous essay by Herbert Marcuse in the 1960’s. Marcuse was a famous philosopher who heavily influenced the thought of the political left. We will look at the ideas presented in Marcuse’s essay Repressive Tolerance. However, it is important to mention that Marcuse’s writing style is highly dense and convoluted. Therefore, it would not be practical to call this a summary as his ideas are so difficult to explain.

The central thesis of Repressive Tolerance can be found in the direct quote from the essay shown below.

Liberating tolerance then would mean intolerance against movements from the right and toleration of movements from the left

Herbert Marcuse “Repressive Tolerance”

The quote above, which appears towards the end of the essay, summarizes what Marcuse is trying to explain. The left should be tolerated while the right should be repressed. The rest of the essay shares examples of this critical point in a highly difficult way to understand and appreciate.

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It is also important to consider the context of this essay. It was written in the 1960s during political upheaval in the United States. Minorities were pushing for equal rights while at the same time, there was a controversial war happening. In addition, Marcuse was already an older man at this point in his life so he had seen the horrors of World War II and the right-wing fascist government of Hitler. In other words, this background played a major role in shaping his views on tolerance.

Tolerance Gone Wrong

One example that Marcuse uses to illustrate the danger of tolerating the right is Adolf Hitler. Through tolerance from other countries and even within Germany, Hitler was able to rise to power and cause untold chaos. However, Marcuse conveniently forgot to mention the untold terror of left dictators such as Stalin, Lenin, and Mao. Therefore, it seems that the problem isn’t so much the left or right of the political debate but rather the problem is people who use either the left or the right to rise to power. The danger isn’t the political position but the character of the person(s) who is in charge

Marcuse’s ultimate goal is to develop a world without fear and misery. In other words, he is seeking a utopia, a common left-wing dream. This can potentially be achieved through careful use of tolerance in which everything is not tolerated. Failure to do this could allow for tyranny to arise as the tyrants will use tolerance to take power.

Types of Tolerance and Political Violence

Marcuse also mentions two types of tolerance: active and passive. Active tolerance is tolerance that is granted to the left and the right. Passive tolerance is acceptance of traditional attitudes and behaviors. From these two definitions, it appears that Marcuse is criticizing both of them. Active tolerance is bad because it tolerates the right while passive tolerance is also bad because it supports only traditional values, which are often associated with the right as well.

Another general point of Marcuse is that tolerance cannot be indiscriminate otherwise it will be abuse. Wisdom is needed in determining what is tolerated and it appears that the left should be tolerated because they are pushing for change while the right should be repressed because they support the status quo.

Who Should be Tolerated

Marcuse also provides examples of when tolerance has been limited depending on the context. For example, he provides an example from John Stuart Mills who stated that tolerance for the selection of leadership should be limited to those with “maturity of faculties.” Another example is from Plato who suggested an educational dictatorship or a tolerance of leaders who have achieved a certain minimum level of education. In both these examples tolerance is dependent on social standing. In other words, the educated should be tolerated in positions of power while the uneducated should not.

Marcuse also provides examples of intolerance as well. He pulls several examples of heretics during the days when the Catholic Church had a major influence over Europe. Marcuse then goes on the mention the need people have for access to authentic information so that they can make properly informed decisions. In other words, it is not social standing that matters but rather the quality of information that is available to the people that matters even more. Therefore, those with quality information should be tolerated to make decisions while those without quality information should not be tolerated to make decisions. Unfortunately, determining what is quality information is another dilemma that can never be solved.

The Sharing of Information

Toward the end of the essay, Marcuse shares examples of how the way information is shared can influence tolerance. Examples included sharing positive and negative articles about the government in the same newspaper. This would send a potentially balanced message about the government. Another example was of a newscaster sharing a tragedy without emotion. Again, the way the message is shared can play a part in the tolerance that is perceived.

For Marcuse, truth is mediated by the environment or context in which it is shared. This implies that it is difficult if not impossible to be partial and unbiased. Marcuse does not say this directly but it appears he is alluding to it.

Conclusion

Marcuse is a tough read. He addresses several ideas at once and spirals back to them throughout the piece. This post was not a summary of his essay but essentially was just an attempt to try and organize the thoughts that Marcuse shared. The primary point of the article is that toleration belongs to the left while the right should be repressed or perhaps not tolerated.

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Epistemic Pushback

This post will take a look at an article by Alison Bailey called “Tracking Privilege-Preserving Epistemic Pushback in Feminist and Critical Race Philosophy Class.” The authors’ main point was to identify epistemic pushback, provide examples of the tools of epistemic pushback, and share some of the associated problems. The context for the author’s views are taken from experiences she had as a teacher.

According to the author, the academic classroom is a place where there are unlevel fields of knowledge in which ignorance is produced. This position assumes that students are creators of knowledge rather than consumers of it. This ignorance that the author is writing about can take place when a student pushes back or disagrees with the opinion of another student. The pushback or disagreement can manifest in many different ways. One way in which it shows itself is when the concerns of a marginalized student relating to injustice are viewed as complaints. Pushing back in this way is dismissing the lived pain of another student. Within the scope of this paper, this type of pushback only seems to happen concerning social justice issues.

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The pushback that was described in the previous paragraph has a technical name which is privilege-preserving epistemic pushback. Epistemic pushback is the willful use of ignorance by a dominant group to see the social injustices observed by marginalized groups. The author then provides technical examples of epistemic pushback including the use of critical thinking and shadow texts.

Tools of Pusback

Critical thinking is focused on the truthfulness or epistemic adequacy of an argument. In other words, it assesses the strength of an argument through the relevancy of the support and the development of an argument. The author considers the use of critical thinking as harmful to marginalized groups. The reason for this is that when epistemic pushback claims to use critical thinking it validates the pushback and has an unfair influence.

The author also compares and contrasts critical thinking with critical pedagogy. Critical pedagogy is focused on power dynamics and groups of people to seek justice and emancipation of those who are not in a position of power. Critical thinking in contrast is focused on the soundness of an argument. The author makes this point by stating that critical thinking cannot be used to dismantle a system that employs critical thinking with the analogy that you cannot use the tools of oppression to defeat oppression. Other ways have to be employed in order to challenge the views and opinions of others.

Shadow text is an attempt to share an idea or topic similar to the topic of the debate with the intention to change the course of the debate. The goal with shadow text is to move a person from their epistemic terrain (the topic they are debating and or where they are comfortable) to a weaker position. People struggle to see points of view that are different from theirs such as how men and women struggle to understand each other and people of various races struggle to understand each other. Moving someone from their epistemic terrain can bring a sense of discomfort for people. For example, white fragility is believed to take place when people who are white are faced with a position that challenges their worldview. However, anybody who has their own worldview challenged could potentially face a similar experience of discomfort as it is similar to cognitive dissonance.

Another concern the author has with shadow text is that it can block paths of knowledge. This can happen when people want to be convinced rather than accept the claims of people from marginalized groups as true. When people have to waste time developing arguments it distracts them from hearing the voices of the powerless

Problems with Epistemic Pushback

The author also mentions several additional drawbacks to epistemic pushback. Pushback is considered a type of manipulation called microinvalidation which are words and or actions that deny a person’s thoughts or feelings about their personal experience. Again asking for aspects related to critical thinking may be one form of microvalidation.

Epistemic violence is another problem with epistemic pushback. There are two types of epistemic violence in the paper and these are testimonial quieting and testimonial smoothing. Testimonial quieting is denying the credibility of a knower because they belong to a marginalized group which essentially silences them. For example, silencing the voice of a woman among a group of men because the person is a woman

Testimonial smoothing involves a speaker restricting their word choice out of fear that the audience may not accept or understand what they are trying to say. This self-censorship naturally weakens the individual’s ability to communicate. However, this form of self-censorship is common among the majority and marginalized.

Conclusion

Epistemic pushback is an important term to be aware of because it makes the case that tools commonly used in debating ideas are not acceptable within the context of social justice. Whether this is true or not is a matter for future debate. However, declaring time-honored tools such as critical thinking as being out of bounds within the debate of social justice is a brilliant move to protect the epistemic terrain of those who support progressive ideas within the context of social justice

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Levels of Evaluation

Within program/project evaluation, there are several different levels at which evaluation can take place. There are three common levels at which this can happen and they are listed below.

  • Project
  • Cluster
  • Programming &policymaking

Project-Level

The main goal of project-level evaluation is to improve the project. Information is collected to impact the decision-making process. There are several phases associated with this level of evaluation.

At the pre-project phase there is often a needs assessment to determine how to support the target population. Other activities at this phase include seeking input from stakeholders and identifying available local resources. At this point, the main purpose is to assess the situation in which the program will take place.

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At the startup phase, there are also several activities taking place. For example, there is a need to develop a system for collecting data. How to collect data will vary widely from project to project but this is crucial going forward. Other activities at this phase include collecting baseline data for comparison with the implementation of the project and identifying assumptions about the project. It is critical to have comparison data so that the impact of the program can be assessed while also considering expectations as well.

Implementation involves the continuation of data collection along with feedback from participants in the program. The feedback is formative and helps to make needed course corrections when necessary. There is also a focus on short-term outcomes and assessing how they may impact long-term outcomes.

The maintenance phase involves sharing findings from the program. This information is shared with stakeholders. There is also continued monitoring of the outcomes as determined from the logic model.

Lastly, there is replication. Replication is focused on assessing the fit of the program with the local community. There is also the development of strategies to share with policymakers.

Project-level evaluation is perhaps the most common form of evaluation with grants. However, there are other levels and approaches to evaluation as shown below

Cluster

Cluster evaluation is a type of evaluation that is done by grant funders and or higher-level leaders. The focus here is to look at similar projects and group them. The purpose of this grouping is to see how well these various projects are doing and to focus on change. Members from the different projects meet together and discuss items of interest about their projects and learn from each other.

During these meetings, the leadership may be looking for common themes and opportunities for feedback. This macro view is naturally a time saver for leaders who may not need the details of a project evaluation while still having a sense of how things are going

Programming & Policymaking

At the programming & policymaking level, the evaluation involves summarizing and synthesizing information gathered from various program and cluster evaluations. This is done to address various policy questions that leadership and funders may have. In addition, this type of evaluation determines decisions related to funding and the continued support of a program(s).

Policy changes are also considered. For example, leaders may decide to change various aspects of the funding process and or encourage other types of programs. As with all evaluations, the goal is to make decisions.

Conclusion

These three types of evaluation are commonly used in the context of grant-funded programs. It is important to always assess a project because of the use of other people’s money to others. Therefore, evaluations, such as the ones shared here, will continue to be a part of the grant process.

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Grant Program Evaluation

This post will take a look at program evaluation, which is a critical part of the grant process.

Types of Evaluation

In program evaluation, there are two forms of evaluation. The two forms are formative evaluation and summative evaluation. Formative evaluation is an evaluation that takes place during the running of the program and is used to make course corrections during implementation. Summative evaluation takes place when a program has run its course and now the goal is to see how it went. In other words, formative is focused on performance right now while summative is focused on performance in the past.

Formative Evaluation

Formative evaluation, as already mentioned, is focused on the context and implementation of the program. This type of evaluation is also focused on the quality of the program (good/bad) and the quantity of the program (ie how many people were served). Formative evaluation takes a look at the activities that were used in the program as well as the outputs from the program.

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The purpose of this evaluation is to make needed adjustments. If people are dissatisfied with the program and or the numbers are subpar, formative assessment allows for changes during the implementation. Failure to do this will generally lead to a poor summative assessment. In other words, formative evaluation, which allows for program adjustments, can help to improve a summative evaluation at the end of a program.

Summative Evaluation

Summative evaluation is focused on the effectiveness and satisfaction of the program. Rather than looking at activities and outputs like formative evaluation, summative evaluation looks at the outcomes and measures how well those were achieved. Outcomes measure how the activities changed the behavior of people in the target population who participated in the program. For example, an outcome might be to see a one-grade level increase in reading comprehension after spending 3 months using a reading software for 6 hours a week.

Since summative evaluations are focused on the results of a progam this type of evaluation must happen at the end of a program. The results of such an evaluation are used to prove that the program deliver what it promised and to improve the program before the next implementation.

Developing Evaluation Question

Determining what type of evaluation you are doing helps in shaping the type of questions you will ask. Timing is another factor to consider. In addition, knowing whether the program is still ongoing or if it is over should also be considered. Another thing to think about is where in the logic modeling are you evaluating. Activities and outputs generally fall under formative evaluation while outcomes and maybe impact would fall under summative evaluation.

When developing questions that you will answer for an evaluation it is important to think of the following.

  • Area of the question (context, activities, outputs, outcomes, impact)
  • Audience (staff, participants, community, government, funders)
  • Type of question (qualitative vs quantitative)

As mentioned, think about where in the logic model the evaluation takes place as this affects the questions. Questions about activities will be different from questions about outcomes. Activity questions might focus on the number of participants while outcome questions will ask about changes in the participants’ behavior after program participation.

It is also important to think about the audience for the report. Staff within the program will have different questions from funders. Funders will care about how money is used while staff may care about satisfaction and ease of implementation. Not only are questions going to vary but the type of evaluation may vary as well.

Lastly, it is important to think about the type of questions to ask. Questions can be qualitative or quantitative. Qualitative questions are narrative-focused and use words to describe a phenomenon. Quantitative questions use numbers to describe things, Both are appropriate at the right time.

Whatever questions you develop you must think about where the data comes from and what type of help you might need to get this data. With this information in mind completing an evaluation should not be a problem.

Conclusion

Evaluation is used within the context of grants to determine how well things were going during the program and how well the program met its targets at the end of the program. This knowledge plays a critical role in establishing a program and measuring how to improve the program going forward.

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Developing a Logic Model

Sitting down and developing a logic model is challenging. However, there are ways to complete this without the stress. What many people do is design the logic model backward by considering the outcomes they want and then developing activities that lead to the desired outcomes. In education, we call this Backward Design which is a model for developing curriculum. In this post, we will look at how to design a logic model using this system that is similar to Backward Design.

The Problem

Although it was stated that you need to begin with the outcomes and impact this is not completely correct. When developing a logic model, one of the first things to consider is what problem you want your program to address. Once this is determined along with the target population you can then move to the outcomes.

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Focusing on the problem, for example, you may notice at a school that there are struggles with reading comprehension. You would now find literature to see how this problem has been addressed in other places as well as document how your organization has addressed this problem. It is important that the problem is thoroughly explained and grounded in your mind and is convincing to potential grant funders. The problem is the heart of the program and if it is shaking the program will not be able to get off the ground.

Target Population, Outcomes & Impact

The next step is to determine who the target population is. For the reading comprehension example, we have to determine specifically who is struggling with reading comprehension. Is it all students, a specific grade, a minority population, etc? The target population is the people who will experience the program. In addition, different funders prefer to fund different target populations.

Once a problem is defined many people want to rush to determine activities to solve the problem. This is not correct in many instances. Instead, we want to define our outcomes and impacts. Outcomes are changes we want to see in our target population as a result of our program and impacts are changes in the community as a result of our program. For example, we might want reading scores among 6th graders to improve one grade level on average for each student. The impact of this would be higher graduation rates when these kids get near the end of high school thanks to their improved reading skills.

The next step still does not involve activities. We now need to consider factors that influence the community concerning this program. These factors can be helpful or detrimental to our program’s influence. For example, our reading program can be helped by using school computers (positive factor) however, student motivation may be lacking in developing reading skills (negative factor). Understanding the factors your program faces helps you to be aware of roadblocks and support for your program.

Activities & Assumptions

Now it is time to address activities. Sometimes this section is called strategies. In this section, you identify best practices for solving your problem. this is all grounded in literature and should be supported with references. For example, using reading software to encourage kids to read would help to improve reading comprehension (desired outcome) while also motivating them through gamification (motivation was a negative factor to overcome).

Assumptions are another critical part of the planning process. With assumptions, you explain how and why tour strategies will work in the target population. The purpose here is to sit down and think about why your program is such a great idea. You need to be aware of things you are assuming without knowing you are assuming them. For example, for the reading comprehension example, you might be assuming that the current school computers are adequate for use with reading comprehension software.

Conclusion

The best advice that could be given about this process is to focus on the end in mind. Start with what you want to see, and the impact you want to make, and from there develop the outcomes and activities appropriately. Once this process is completed you can begin to input information into a logic model.

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Mathematics and Critical Analysis

This post will be a summary of the article, “Equity, Inclusion, and Antiblackness in Mathematics” by Danny Martin. The main thrust of this article is the author’s belief in the oppression blacks experience when they are learning math.

Martin makes several strong claims in his article using critical analysis. The word “critical” in this context always has to do with relations of power between the “oppressed” and “oppressor”. He states that math has held a privileged position within education. By privileged he may mean that math is held above other subjects in terms of importance. Naturally, there is no clear reason why math is somehow more important than other subjects except for perhaps its role in science and technology which are key movers of the economy.

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Martin also claims that people of color are underrepresented in math. However, it is rare to find equal distribution of people in almost any field or discipline. For example, minorities often dominate sports without any complaints from people. Since professional athletes generally make more money than mathematicians focusing on athletics may make more sense in specific circumstances. For people who like the physical tools for athletic excellence, math provides another route to success.

To deal with the challenge of math supremacy and the underrepresentation of blacks in this field, Martin wants an aggressive and fast overturning of the existing system. He critiques strongly the slow incremental reform that has been used over the years as too sluggish and does not threaten the status quo. Supporting revolution is to be expected from Marxist-leaning writers as the current state of affairs is always one that is dissatisfying to them.

Major Movements in Math

Martin next breaks down how there have been three major movements for math reform in the US. The first was in the 1950’s which was math refroms in reaction to Soviet success during the Cold War. The next reform was in the 1980’s and was a standards approach in reaction to the work published in “A Nation at Risk.” The last reforms came in the 2000s and were the common core state standards. For Martin, each of these reforms found one way or another to exclude people of color from success in math. Inclusion was a goal of each of these reforms yet Martin claims that the inclusion never happened.

The inclusion that these reforms offered included marginalization or assimilation. Marginalization is essentially treating people of color as second-class citizens within the discipline of math. Assimilation involves people sacrificing their identity and or culture to be a part of the community. For Martin, either of these actions is not true inclusion.

Martin provides several examples of how the government has supported whites in math. Examples include GI Bill which allows whites to go to college and thus study math. Other examples include the New Deal and the Fair Deal. The latter two are not explained in detail in the article but were reform programs.

Violence and Dehumanization in Math

The article states that black students experience violence and dehumanization through math education. Violence is manifested by looking for deficiencies in the math ability of black students through diagnosing these weaknesses. In other words, if a black child learns that they are weak in math this is a form of violence toward the child as it labels them. Thus, math illiteracy was invented to exclude people of color from the discipline of math by telling them they were illiterate in math. Again, this is the opinion of the author of the article.

Dehumanization is not as clearly defined by Martin. However, if it is the same as Freire’s view of dehumanization it means that the students are not awakened politically to the injustice around them and the need to fight it. For Friere, if a person is not aware of their oppression they are not fully human. Martin shares Freire’s views but he did not define this term and that may be because he assumes his audience already knows this.

The violence and dehumanization that black students experience in math are examples of antiblackness within math. In other words, these tools discussed above are used to keep blacks out of math. Martin claims that math is a space for people who are not of color and that this has become a racialized experience.

Refuse

Martin ends his paper with an appeal to the axiom of black brilliance. An axiom is a self-evident truth or a claim that does not need support. In other words, the axiom of black brilliance means somebody is brilliant simply because of their skin color. This is conflicting given that stupidity can be found in all cultures and people groups. Assuming black brilliance is just as bad as assuming black stupidity given that there is a spectrum of intellectual ability in all people groups from dumb to genius. Mislabeling either way is a problem that should be avoided. Injustice on one side should not lead to injustice in the way. Performance rather than skin color should determine the success or failure of an individual.

Martin also shares the idea of refusal in and refusal of. Refusal in means refusing white benevolence and not learning math in the current system of oppression. Refusal of means refusal of current math practices. Although this is a catchy term it lacks practicality as math has a long multicultural history involving India, the Middle East, Africa, and other places of color in addition to recent contributions by Europeans.

Conclusion

Reading the works of critical race theory proponents is always interesting. The anger and frustration that come through their writing is powerful. However, seeing the world through a lens of race is just one of seeing the world. There are other interpretations of how math is taught besides the cry of racial injustice.

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Types of Logic Models

This post will look at different types of logic models. In general, there are three types of logic models as shown below.

  • Theory Approach Models
  • Outcome Approach Models
  • Activities Approach Models

Of course, in the real world, it is never this simple as three categories. Many models are a mixture of more than one. The benefit of being aware of these three models is that it helps you as the logic model developer to understand what you want to focus on when creating a logic model.

Theory Approach Models

The purpose of theories is to explain. Therefore, a theory approach model is focused on depicting how and why a program will work. The model will go into detail on explaining how a program will achieve something.

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In general, there will be an emphasis not on outcomes and impact but on the earlier part of the model such as the inputs and even components before the inputs. It’s not that the other sections are not important. Instead, the goal is to ensure grant readers understand the justification for the program.

Outcomes Approach Models

Outcomes are the direct influence that outputs from a program have on the target population in terms of changes in attitudes, behavior, etc. Therefore, an outcome approach model is focused on outcomes and their connection with activities and impact. Often individual activities are linked directly to the outcome they are supposed to support.

Outcome approach models are useful for evaluation as they are focused on the measured components of a program. For example, if one of the outcomes of a program is a 30% increase in students reading at grade level. Such an outcome can be measured and determined if the program was able to achieve this or not.

Outcome approach models are not as concerned with the how and why of a program as theory models are. Instead, this model is focused on the performance of the model and whether the outcomes are achieved or not.

Activities Approach Models

Activities approach models emphasize what the program will do through the activities or methods of the program. The activities are often mapped out in a sequential fashion leading up to a particular output. In other words, several activities will happen chronologically to achieve a specific outcome.

Unlike the theory model, the activity model is not training as much to explain the what and how of the model. In addition, unlike the outcome model, the activity model is not focused on how the program influences the target population.

Conclusion

It is important to remember that how to develop one of these models in particular will vary widely from place to place. The real point here is to be aware of the focus of your logic model. Being aware of what matters most to you and your readers, whether it is the theory, outcomes, or activities, can help you shape the most appropriate logic model for your context

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Logic Models in Detail

Logic models play a critical role in the grant proposal process. What logic models do is show how your program will work by depicting visually the relationships among the resources, activities, and desired results of your program.

In general, there are two main sections of a logic model. These two sections are called the plan and the intention. Within each of these sections, there are also several key components. The plan includes inputs and activities and the intention includes outputs, outcomes, and impact. Below is a diagram of a simple linear logic model.

We will now define each of these terms in the logic model. The ideas behind this post are derived from the W.K. Foundation which has several informative documents on the grant development process.

The Plan

Inputs or resources are needed to get the program to work. An analogy would be gas for a car. You can have the best intentions in the world with a car but without gas, nothing will happen. A program with resources will have no impact.

Activities or methods are what the program does with the resources. For example, a car burns gas to travel somewhere. Activities within a program are used to bring about desired results or help manifest the program’s intentions.

Intention

Outputs are the direct results of the activities of your program. These can be services, participation rates in the program, levels or dosages, etc. In other words, outputs are some sort of tangible product or experience. For a car, the output would be whatever place the car travels to such as a mall, restaurant, or park.

Outcomes are changes in the target population or the people who the program is for in terms of their attitudes, behaviors, skills, etc. For example, once we take our car to the park we would expect everyone to be happier from having a chance to experience nature. Outcomes can be broken down by increments within a few years of the program to almost ten years after the program’s implementation. The scope of the outcomes depends on the designer of the program.

Impact is the fundamental change in the local community and or organization as a result of the program’s implementation. Therefore, after taking the trip to the park using the car we might expect to have improved family relations and reduced stress from the trip’s fun. In other words, the impact is the long-term effects of the program on the greater community due to changes in the target population.

Interpreting Logicl Model with If Then Statements

A great way to understand logic models is to see them as a chain of if-then statements. Each component of the logic model feeds into the next one and shows “logically” how the program should run. Below is an example

If we have the resources we need then.. (Inputs)
We can complete the activities then.. (activities)
The target population will participate in the activities then… (outputs)
There will be changes in the target population then… (outcomes)
There will be changes in the larger community (impact)

Here is the same example using the car example

If we have gas for the car then… (inputs)
We can travel then… (activities)
We will go to the park then… (outputs)
Everybody will be happier then… (outcomes)
Family relations will improve… (impact)

Both of the examples above are examples of non-visual logic models. It is important to note that there are different ways to support out the different parts of a logic model. Some will agree with the breakout above and some will not. The real point is to make it clear in your mind how you want to go about breaking apart the components of your program.

Conclusion

Logic models are powerful tools for helping you to develop your programs that are seeking grant funding. Logic models can also help with implementation and the evaluation of a program as well. Therefore, it is clear that there are many reasons why logic models should be used in the grant proposal process.

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Grant Proposal Goals & Objectives

Goals and objectives are derived from the needs statement of a grant proposal. It is important that the needs statement, goals, and objectives, are all aligned in order to make sure a program has a clear sense of purpose. In this post, we will define goals and objectives within the context of grant writing.

Goals

Goals are broad general statements that provide a sense of direction for a project. Objectives are derived from goals with the difference being that goals are specific in terms of how they help to reach the goal. Goals, because of their general nature, are unachievable but are instead inspirational in their construction.

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Since goals are intangible they are also unmeasurable. An example of a goal would be the following for a school.

To provide the best educational services in the region

The goal above is a goal because of its general unmeasurable nature. None of the terms are defined and there is no way of knowing when the school will be the best in the region as this is not defined either.

Objectives

Objectives support goals by making goals real at least in part. Objectives are specific steps that are made in a measurable way to reach goals. Objectives are often associated with the acronym SMART which stands for.

Specific
Measurable
Achievable
Relevant
Time-bound

Objectives need to focus on something or be specific. Objectives also need to be measurable generally quantitatively. Objectives must also be achievable given the context of the program. Objectives must also be relevant or related to the goals and needs statement of the project. In other words, an education program needs objectives related to education and not health care. Lastly, objectives must have a window of time in which they can be achieved. Below is an example of an objective.

Ensure at least 15 students are reading at grade level by the end of the program

Within the context of grant writing, there are two types of objectives which are outcome and process objectives. Outcome objectives demonstrate impact are results derived from a program. An example would be the objective shown above in this paragraph. This objective is achieved as an outcome of the program. In other words, once the program is completed the desired measurable behaviors should be measurable.

Process objectives are focused on the steps to achieve results within a program. An example of a process objective is below.

The number of students who participate in the reading program for the first time within the grant period willgrow to 10% of the student population

The objective above helps the program leaders realize what they need to do to ensure the success of the program. In other words, the students are not doing anything here. Instead, the program leaders know what percent of the student population is needed for the study. Process objectives need to be achieved to ensure the validity of any outcome objectives.

Objectives are result-oriented and concrete. Grant proposals need objectives to provide shape to the direction that a program will take if it is funded.

things to Considered

There are several tips and things to consider when developing goals and objectives. It is important to determine what it is that you want to change with your program. Understanding the target of changes can help to formulate goals and objectives. For example, if the change target is improved reading comprehension this will lead to different goals and objectives compared to developing math skills.

It is also important to be aware of the target population or the people you want to serve. This is important because the target population can often show up in goals and objectives to help focus the proposal. Another concern is the direction of change. Is there a desire to increase or decrease a behavior or skill? Generally, reading comprehension should increase while arrests should decrease.

The amount of change and a timeline should be thought about as well. Numbers must be set to both of these ideas. The amount of change can be a 10% increase or decrease in something and the timeline can depend on how long the program will last. In all of this, the goals should be inspirational while the objectives are measurable.

Lastly, it is important to know that objectives are not methods. Objectives measure the impact of methods or activities that are used to see if objectives have been achieved.

Conclusion

Goals and objectives are at the heart of a proposal. They provide shape and a sense of accountability to a project. Knowing this, the goals and objectives must be presented understandably not only for the readers of the proposal but also for the writers as they provide clarity in what exactly one is attempting to accomplish.

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The Needs Statement in Grant Proposals

In this post, we will look at the role that the needs statement plays in a grant proposal. The needs statement of a grant proposal is similar to the problem statement of a research paper in that both provide the overall scope of the proposal/paper and what will be addressed. In the case of the grant proposal, the needs statement guides the development of the goals, objectives, methods, evaluation, and even the budget. Given the influence of this statement, it must be expressed in a manner that is first and foremost comprehensible for the intended readers.

Tips & Insights

The grantor must agree with the needs statement so that those seeking money can obtain it. In other words, the grantor must be convinced that the needs statement articulates a need that aligns with what the grantor provides money for. For example, a funder that is focused on sports exercise is not going to be convinced of needs that are focused on English language skills.

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The needs statement also be consistent with the grant-seeking organization. In other words, a school seeking funding must write grants that support schools. It is also critical to show how, with the money, an organization can help to fill the need that they are trying to address. This means that the grantees must explain how they are competent to use the money to address the need.

Making a compelling needs statement involves the artful use of quantitative and qualitative data. Both forms of data provide evidence of the need. Statistics can provide a summary of trends over time and help to indicate where there may be problems. Qualitative data provides anecdotal evidence and shares stories that are easy to understand and appreciate.

Circular Reasoning

One common trap that many grant writers fall into is the use of circular reasoning. Circular reasoning is a fallacy in which the main idea is used as a supporting detail or the premise is also the conclusion. An example would be “Make your bed because I said so.” In this argument, no evidence is provided for why the bed should be made except for the authority of the speaker.

Within the context of grant writing, an example of circle reasoning would be “We do not have enough computers for our students. Therefore, buying computers will fulfill this need.” In this poignant emotional example, one can see the school thinks they need computers but no evidence is provided that the school needs computers except for their request. Using quantitative and qualitative data could illustrate how the school needs computers rather than relying on their innate desire for computers

Conclusion

The needs statement is critical to grant writing. As such, it can be difficult to articulate this clearly. However, if this is done it can seriously help to communicate with funders.

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Proposal Types

There are different proposal types grant-seekers can use to solicit funds. The type of proposal you will use depends on who you are communicating with. In general, there are four types of proposals.

  • Letter of intent
  • Letter proposal
  • Full proposal
  • Online application

We will look at each below.

Letter of Intent

A letter of intent is a 2-3 page summary of your project. This letter will contain information describing your organization, the gist of the project, and how the project fits the priorities of the potential funder.

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There are several benefits of a letter of intent. First, it saves time for both the grant seeker and the funder. It is much easier to write a 2-3 page summary and to read such a summary than to go through the entire proposal process. Second, if the funder likes what they read, they can request a full proposal.

Letter Proposal

A letter proposal is 3-4 pages and describes the project and organization seeking funds. This type of proposal is often requested by corporations. On the surface, it appears there is no difference between a letter of intent and a letter proposal. However, there is one major difference

A letter of proposal will generally always include a request for a specific amount of money. A letter of intent will not include a dollar request. The letter of intent is a letter that communicates an intention to send a proposal while a letter proposal is already a proposal.

Full Proposal

A full proposal is what many think of when they think of a grant proposal. A full proposal is somewhere between 5-25 pages and includes a cover letter, proposal summary, project plan, evaluation plan, etc. This type of document is often requested by foundations from the beginning or perhaps after a letter of intent has been received.

A full proposal is going to have a strong explanation of all of the costs involved and the funding request. There will also be details in terms of objectives and activities that will be performed to achieve the objectives. Since so much is involved in the preparation of this document, it takes a great deal of time and can be discouraging if the project is rejected.

Application

Perhaps the most common way to solicit funds from grantors is the online application. The online application involves completing some sort of online template in which all the information the grantor wants is inputted. Such an approach is a departure from the personal, relationship-building style of grant-seeking of the past.

It seems that everybody uses online applications now but they are especially common among large grant-making institutions who focus on funded projects. It’s easy for this to become an impersonal experience. However, the goal is to help people who are in need through obtaining needed funding.

Conclusion

The proposal is a critical part of obtaining funding. It provides critical information about the project while also formally communicating a need to a potential financial supporter. However, it is important to consider the preferred way that a grantmaker wants to be contacted, which is why these various types of proposals were shared.

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Grant Proposal Evaluation

This post will explain the various parts of a grant proposal evaluation. It is important to remember that there is no single way that this is done. Rather, the information provided below gives a general summary of what is commonly expected. Below are commonly found sections in a grant proposal evaluation.

  • Purpose
  • Need
  • Operational plan
  • Personnel
  • Budget
  • Evaluation
  • Resources

Each of these parts of a proposal are explained below.

Alignment of Purpose

One component that grantors look at is the purpose of the grantee. In other words, why does the grantee exist? In addition, the grantor wants to know how the proposal’s objectives align with the organization’s purpose.

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For example, the purpose of a school is to provide education. Therefore, if a school is seeking funding it must support the purpose of the school which is to provide education. This means that a proposal that focuses on improving reading is probably more aligned with the purpose of education than seeking money for faculty vacations.

Extent of Need

The extent of needs identifies what exactly is the problem that the organization is facing. For those familiar with research it is similar to the statement of the problem. The organization must document not only anecdotal evidence but also from literature on the extent of the problem that is being faced in the local context.

The grantor is looking at the scope and focus of the need. Sometimes organizations try to do too much in one proposal. It is too difficult to define how focused the needs should be as this will vary from place to place. The point is to be aware that a proposal needs focus to obtain approval.

Operational Plan

The operational plan is similar to the methodology of a research paper. In this section, the organization explains the project design by sharing what resources will be used to achieve the objectives. There will also be an explanation of the milestones and an assessment of how logical they are.

Other aspects of this section include the timeline which must also be assessed for its reasonableness. In addition, various activities are shared along with how they help to achieve the objectives of the proposal. All this must be grounded and based on research.

In our school example, we might have the objective of improving reading comprehension by half a grade level over one academic year. This objective might be achieved by using grant money to purchase reading software that allows the kids to practice reading aloud and answering comprehension questions. The milestones might include purchasing the software, training the teachers to use it, monthly progress checks of the students, etc.

Personnel Quality

The personal quality section addresses whether or not the people within the organization have the skills needed to complete the project. If the skills are lacking, then the proposal must explain how the current group of people will be trained or how additional people will be hired.

It is also necessary to clearly define the responsibilities of all individuals involved in the project. Lastly, it is useful to include an estimate of how much time people will devote to the project.

Budget

The budget is mostly self-explanatory. It is important to make sure that the budget covers all expenses. Furthermore, the cost must be reasonable. Again, it is impossible to define reasonable but this must be kept in mind. Lastly, it is also important to include administrative costs in the budget as well.

Evaluation

All projects must be evaluated which means that there must be a way to define the success or failure of the endeavor. This involves collecting data throughout the project and using the data to determine if the objectives have been achieved. Therefore, the proposal must include means of data collection and analysis to assess the success of the project.

The evaluation must be valid or appropriate for the project. For example, if a school is trying to improve reading comprehension then the evaluation must measure the students’ reading comprehension. Asking the students if they believe their reading comprehension has improved is not as valid because it is measuring perceptions rather than reading comprehension directly.

Resource Sufficiency

Resource sufficiency is focused on the organization explaining their readiness to implement the program if they are given the money. In other words, do they have adequate facilities right now or do they need to improve them?

Another concern is equipment. For example, if a school wants to purchase reading software the next question is whether or not the school has enough computers to support the software. There is also a concern for the age of the computers and whether or not the computers can handle the software.

Conclusion

Writing a grant proposal is challenging yet exciting. It allows an organization to obtain funding to help people who are in need. For many, this is a satisfying experience. However, great care must be taken to make sure that the proposal is written in a way that it is accepted as a project worthy of funding.

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Common Components of a Grant Proposal

Writing grants is one of many ways to acquire funding to support an institution. In this post, we will look at some of the basic components that are a part of a grant proposal.

Abstract

The abstract of a grant proposal provides a general summary or a snapshot of the main points of the proposal. The abstract commonly includes such things as the objectives, the methods, and maybe the way the grant will be evaluated.

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A major question people often have about the abstract is when to write it. It really depends on how your mind works. Some prefer to write it at the beginning and use it to guide the rest of the writing. Others prefer to write the abstract at the end after they know what they wrote in the proposal.

Needs Statement

The needs statement is a section of a grant problem in which the writer shares the problem, the background of the problem, and the review of the literature. Essentially, the writer is trying to illustrate the context in which there is a need for the grant money.

The needs statement also shares how the problem will be addressed at least briefly. Sharing this information also implies the benefits of implementing whatever program the grantee is seeking funding for.

Plan of Operation

The plan of operation is the methodology of a grant proposal. In this section, the objectives may be shared again along with the methods. Methods are how the objectives are achieved in a grant proposal. For example, if a school is applying for a grant to improve reading comprehension, the method for doing this might be to train teachers in a different reading approach to help students.

Sometimes activities are also listed. These are various things that are done in order to facilitate the grant as well.

Personnel & Cost

Personnel is a list of the people who are involved in the performance of the grant. This can include people who already work at the school and or people who will be hired in order to do this.

The cost is self-explanatory. The grantors need to know how much money is needed and this information is provided here.

Evaluation

Evaluation explains how the performance of the grant will be determined. In this section, it is important to explain what is being evaluated. In addition, it is common to provide some sort of before and after metric. For example, what was the reading comprehension before the program was implemented is a question that can be addressed. this is one way to indicate the amount of change that is expected

It is also necessary to indicate who is responsible for completing the revelation along with the cost. If there are some sort of standards this can also help with determining the quality of the program as well.

Current Resources (significance

Current resources tell the grantor the tools available right now to achieve the objectives. In this section, it is also important to share why you should receive this money and why you are best qualified to achieve what you have stated in this proposal.

Assurances and Attachments

Assurances are statements that the grantee will abide by whatever rules and regulations are required of the grantor. This is common when applying for government grants. Attachments are miscellaneous documents that might be needed. These documents are context-dependent but can include budgets, timelines, and or letters.

Conclusion

Writing a grant proposal can seem like a daunting task. However, once you are familiar with some of the basic components it is a much less intimidating experience.

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Grant Objectives

Objectives within the context of grants are used to try and explain the changes that the grant seekers want to make in their local context. The objectives defined what kind of change and how much change will take place. In other words, objectives are outcome-focused.

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It is important to not use objectives to explain how things will change. Defining how things will change is a method and not an objective. Objectives help readers see what will change by the completion of the project.

Below are the major components of grant objective(s)

  • Action statement
  • Performance measure(s)
  • Performance standard(s)
  • Timeline
  • Costs

Action Statement

The action statement contains a verb that clearly defines what is going to change. Below is an action statement.

To decrease the number of youth who commit crimes after release from the ABC drug program

This is a good start. The action statement clearly defines that we are trying to decrease how many kids commited crimes. However, alone, this objective lacks quantitative features that allow us to assess how successful the program is.

Performance Measure(s)

Performance measures are the variables that are measured to indicate success or failure. What these variables are can depend largely on the context of the grant. Below is our updated objective about the drug program.

To decrease the number of youth who commit crimes after release from the ABC drug program (action statement),as measured by the number of refferals received after completing the program (performance measure),

In the example above, we will know if the youth who commit crimes after release is going up or down based on the number of referrals that are received. Referrals are a way to document offenses that youths may have committed.

Performance Standard

Performance standards provide the objective with a clear quantitative way of defining what is good. For example, in grading 90% is an ‘A’ grade. Below is an example of a performance standard within the context of our objective

To decrease the number of youth who commit crimes after release from the ABC drug program (action statement), as measured by the number of refferals received after completing the program (performance measure), by at least 25% (performance standard).

Now we know how much referrals must decline in order to consider the program a success. How this number was determined is beyond the scope of this blog post. It is important that performance standards are thought out and researched so that they are challenging but achievable.

Timeline & Cost

The timeline provides a framework for how long it will take to see results. Cost provides an estimate of the amount of money that is needed. Below is our final objective

To decrease the number of youth who commit crimes after release from the ABC drug program (action statement), as measured by the number of refferals received after completing the program (performance measure), by at least 25% (performance standard) per year (timeline) at a cost of $15,000 a year (cost)

The timeline in which the performance standards are measured is yearly. The statement above is a great summary of the high points of funding this particular program.

Conclusion

The goal of a grant proposal is to communicate as clearly as possible. Naturally, everybody has a different opinion on what is clear. However, starting with a framework like the one above can at least help you get started and have a common reference point with your team. As needed, it will be important to modify the ideas here.

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Biologism

In most cultures, family plays a critical role not only in the lives of children but in maintaining the stability of society. By family, it is meant a traditional family of parents with their biological children. However, there are now questions as to whether genetics should play a role in the family at all.

Definition

Biologism is defined as a preference for biological inheritance. In the context of this post, this means the preference for one’s biological children. Critics of biologism state that this is outdated, old-fashioned, and even prejudical against other children who may not have a family.

There are additional critiques in terms of the patriarchal structure of the traditional home with a need to decenter this normative view for alternative approaches. in simple terms, male-led families with biological children should not be considered normal as it excludes those who cannot experience this. Some have even suggested that people should adopt rather than have their own children as this shows an altruistic nature that may be best for the larger society.

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There are several reasons why biologism is not supported. People have made comments that family structures have changed. Today, there are many non-traditional family structures and there are couples who cannot have children. In addition, even traditional means of having a family are challenged through such things as surrogacy, which makes it questionable in terms of who child the newborn baby is.

One question that is asked is should genetics even matter when somebody wants to be a parent. Generally, this innately matters and this is a major criticism. People against biologism believe that parents should love unconditionally regardless of genetics. The world should be inclusive no matter the relations between people. The goal is to ultimately move people beyond family to a concern for the planet. In other words, the planet should be equal to or more important than family relations. this leaves little room for the natural individualism and tribal connections people have had throughout history.

Not New

Despite how fascinating biologism is it might not be a new idea. Plato in his Republic spoke about the dangers of family. Essentially, Plato’s concern was that when people have families they will naturally put their family ahead of the state. When this happens strife and corruption are bound to take place as people fight for their families. By removing families, people should be focused on supporting the government instead. In other words, instead of people fighting other families Plato simply wanted governments to fight each other. Moving the level at which conflict occurs probably will not stop conflict from happening.

Of course, governments need children even if there are no families and Plato had a solution for this. People would “hook up” through a lottery system and any resulting babies would be raised by the state. Children would not know who their parents were and the parents would have no idea which children were theirs because there would be a lot of hooking up to the point that nobody knew who got which person pregnant. One caveat on this is that Plato’s idea was limited to the leadership of the state or what is called the elite. Regular people would in theory at least still have the ability to pair-bond and have children in a traditional sense. Fortunately, Plato’s ideas were never implemented nor is there any evidence that being single and detached from a family is a path to world peace,

Conclusion

The main concern with attacking traditional families and having children is that it is hard to find another approach that is common and equally successful if not superior. There are examples of societies that struggle when they deemphasized or removed families such as ancient Sparta and extreme forms of Communism. Families have been around for all of human history and as with anything involving people there are pros and cons. Just because bad things happen sometimes does not imply that the entire model should be thrown out. The ultimate point is that people should be able to choose for themselves whether they want to approach from a traditional or alternative means.

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Grant writing Brainstorm

It is common for schools and other organizations to seek funding for various initiatives. One source of funding is grant seeking. When attempting to develop a grant proposal. Several concepts need to be included to develop a comprehensive proposal. The parts to be included are

  • Pain point
  • Answer
  • Commitment

When these three components are included it can help a team to attain the grant funding they are seeking. Before writing, it is critical to brainstorm various ways to address these three components before settling on the best choices for the proposal.

The Pain Point

The pain point comes from the context of the grantees. For example, this can be the classroom, the community, or some other aspect of society as a whole. The goal at this point is to be able to paint a picture of the issue that requires financial support to address. The illustration of this can be through the use of statistics, observations, stories, and literature.

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The goal here is to document the gap. By gap, it means the distance between where you are and where you want to be. Again, the distance between these two places will be filled through the judicious use of grant funding.

The Answer(s)

The answer(s) are the ways and strategies that will be employed upon receiving grant funding to address the needs and strengthen the system. For example, if a school is struggling with providing tablets to students the solution would be to purchase tablets using grant funding.

Remember that the goal right now is to brainstorm. This means several solutions are proposed until the team can agree on one. Also, remember that if you are applying for several different grants different solutions to the same problem might be more appealing to different grantors. Therefore, it is important to know your audience when developing grant proposals.

The Commitment

The commitment is often confusing for people. Essentially, the commitment is a part of the proposal in which the grant-seekers attempt to explain the extra effort the team will make when using the grant funds. Depending on the culture, demonstrating passion is important. The grantors often want to know that you are on fire to use this money to implement change and address needs.

Documenting one’s commitment can include expressing your eagerness to help students. You can speak on how you will make adjustments to your classroom and or teaching once the money is put to good use. Again, it is important to think of several different ways to address this before settling on the first idea that occurs in one’s head.

Attainment

If everything goes according to plan in mapping ideas in the first three parts, it is hopeful that the money will be granted. When this happens it is now possible to acquire the tools and or train the people to meet the needs of the context.

Conclusion

The information above provides a framework for getting started in the grant writing process. In summary, it is important to try and document the need, solution, and commitment you are making when seeking funding.

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Sanism

Mad studies and Sansim are a form of Marxism that looks at power dynamics between those who are considered “normal” mentally and those who are not. As with all other forms of critical studies, Mad Studies wants to overturn the status quo for an untested utopia that has not been proven to solve any of the existing injustices.

Mad Studies

Mad studies is a field of inquiry that rejects how mental health has been medicalized and has become a tool of the pharmaceutical industry. Madness should not be pathologized as there should not be any norms for mental health. Proponents of this point of view call themselves “mad.”

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Mad proponents are convinced that there is a need to challenge the idea that people experiencing mental distress need to regulate or control their feelings. One of the reasons they make this claim is that people who do not fall within societal norms for acceptable mental well-being can be discriminated against because of these fall norms. For example, people may lose job opportunities, lose a job they already have, and face other obstacles to success because of the oppression that comes with having what others consider to be mental health issues. In addition, people who are considered mad are also often labeled incompetent and or dangerous.

Sanism

The act of discriminating against people because of their mental well-being is called sanism. When individuals are threatened with sanism they will try and hide their mental illness. Other coping mechanisms can include self-criticism in an attempt to place blame on one’s self. Mad studies are focused on challenging the status quo in regard to mental health.

Mad studies criticize several concepts that are a part of Western culture. Neoliberalism is one frequent target and neoliberalism is an economic and social focus on the the individual and the expectation of personal responsibility. As Mad studies is a child of Marxism means that it will have issues with economic policies focused on the individual. Another issue is with personal responsibility.

Mad studies do not support the idea that people should have to control their emotions and behavior at all times. If a person is having a meltdown at work the people around them should be patient and understanding of this challenge. To go one step further, some proponents of Mad studies believe that self-regulation is harmful.

Other supporters of Mad people have stated that Mad people should be in the workplace to provide mental diversity. In other words, the workplace should include a wide variety of people with different types of mental health from people who can control their emotions and reason to people who have no control of themselves and cannot reason. This is considered a balanced workplace for Mad people.

Conclusion

It is a trying situation for anybody who is experiencing mental health issues. However, how well such people can be included in society depends on the situation. It is unwise to bar Mad people from society completely as it is equally unwise to include them completely without examining the circumstances.


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Homeschooling and Government Funding

Homeschooling has grown tremendously over the years. From a fringe concept to over 6% of the school-aged children in the US. What makes this even more surprising is that home school was illegal in some parts of the US up until the late 1980s.

Homeschooling also takes many different forms. It can take the traditional form of a single family educating their own children. Other ways of providing one’s children with an education can include micro-schools where several families may come together to share resources in the education of their children. The benefit of micro-schools is that by sharing resources it is easier to ensure all academic subjects are covered adequately, which can be difficult to achieve when working alone as a single family. However it is done, homeschooling provides an alternative route to providing for the needs of children.

Motivations for Homeschooling

The motivation for homeschooling naturally varies from family to family. Some of the common reasons can include concerns with safety. The concern with safety is a legitimate worry with all of the school shootings that have happened in the past and the fact that bullying is still a problem in schools. Another reason is the poor academic quality of many schools. It is hard to label all schools as bad but it is reasonable to state that many schools do struggle with academic rigor.

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Another major reason for homeschooling for some families is the opportunity to pass on family and religious values. Schools tend to lean to the left when it comes to values and politics and often try to pull the students in this direction. For some families, this is not acceptable as the values of the schools and government conflict with traditional and or religious values. For this reason, some parents have decided it is better to educate their children at home in order to avoid the confusion of different messages from different sources reaching their children.

Money and the Government

With the growth of homeschooling has also seen a growth in school choice in general. This has led several states to develop some sort of education savings plan or account that can be used to support the education of a child regardless of how they are educated. Some examples of how this money is used are for tutoring, special needs, tuition for private schools, and materials for homeschooling.

The dilemma is that money from the government often comes with requirements and stipulations for the sake of accountability, which is frustrating for homeschool parents as they educate their children often to be free of government interference. This has led some families to reject this money in order to maintain independence.

Rejecting the money is within the rights of parents, however, the laws in some states did not originally allow for different types of accommodation for students who are eligible for this money. In other words, all students who could receive this money were classified as the same, which means that if there is any kind of reporting or government expectation then all students would have to comply whether they took the money or not.

To solve this problem, many states have enacted clarification to allow for families that do not take the money to not have to comply with any expectations that come with families that do take the money. In other words, there is now a clear distinction in the law between students who receive money from the government for educational purposes and those who do not.

Conclusion

The growth of homeschooling is an excellent form of alternative education for many students and families. However, sometimes the government means well but can potentially make life difficult for families. Therefore, parents must stay vigilante in order to prevent the loss of their freedom to educate their children

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Cultural Relevant Pedagogy

This post is a summary of the article “Toward a Theory of Culturally Relevant Pedagogy” by Gloria Ladson-Billings. One of the major contributions of this paper is attempting to define examples of culturally relevant pedagogy in the classroom of several teachers.

Problem

The problem addressed in this paper is multifaceted but can be summarized as follows. The author claims that success is defined in school for minorities by adapting their behavior to the expectations of the teacher and majority culture. For the author, this is poorly defined as meritocracy. The concern with adapting culturally for minority students is that they are not being affirmed in their own culture.

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Galdson-Billings continues by stating that schools are guilty of reproducing the current system and thus reproducing the inequities of the existing system. This is a common critical pedagogy critique of the existing educational system. Therefore, students need to develop an awareness of the inequity in school, which calls for the development of a critical perspective or critical consciousness as explained by Friere.

With this background, the author shares the following proposition when she states that pedagogical practice needs a theoretical model that deals with student achievement and the affirmation of minority students’ cultural identity while also developing a critical perspective for challenging inequities in school.

The proposition above addresses the following problems

  1. Student achievement of minority students
  2.  Cultural affirmation of minority students
  3.  Development of a critical perspective
  4.  The need to challenge inequities in school

To put it simply, the other is looking for evidence of the propositions mentioned above in her research.

Questions

Galdson-BIllings lays out the following questions that she wants to answer in this paper.

  1. What is student success?
  2.  How can academic success and culture complement each other in settings where student alienation characterizes the school experience?
  3.  How can pedagogy promote student success that critically engages larger social structural issues?
  4.  What are the implications for teacher preparation generated by this pedagogy?

Notice in question two the use of the word “alienation.” Alineation is a term commonly used in Marxist literature to mean a feeling of estrangement or being marginalized. There is an assumption in this question that students are feeling alienation even before any data is collected.

In question three, the word “critical” is used. Again, the word “critical” has a different meaning and it means to question and oppose power dynamics. In this question, the author is looking for a specific predetermined answer rather than exploring the data

Methodology

Gladson-Billings collected data from 8 teachers who were considered to be excellent teachers. The method of data collection was done through participant observation in which the author was actively involved in the classes that she visited.

There were four phases to the data collection.

  1. Ethnographic interview of the 8 teachers.
  2.  Participant observation of the teacher’s teachings 3 days a week for 2 years.
  3.  Videotaping of the teachers (this was in the 1990’s)
  4.  Teachers observing each other videotaped teaching.

There was no direct explanation of how the data was analyzed but it can be assumed that this was a qualitative study and the result section is focused on summaries and the occasional vignette to provide support for propositions the other shares.

Results

Among the findings, the author shares that students struggle to achieve academic excellence while showing cultural competence. This may be due in part to who has the power to define academic excellence, which the author thinks is unjustly given to the majority culture.

Another major finding is that teachers must help students to understand and critique social inequities. The need to challenge social inequities goes back to the critical pedagogy viewpoint of the paper. Students must become activists to challenge the existing system. The author then shares several examples of students becoming involved in community activism through the support of their teachers.

The author then shares three propositions that emerged from her research.

  1. The culturally relevant teacher’s conception of self and others
  2.  How culturally relevant teachers structure social relations.
  3.  Culturally relevant teacher’s conceptions of knowledge.

Proposition one stresses the beliefs that the teachers of the study had about students. These excellent teachers believed that all students could succeed, that teaching is an art, that they were members of the community, and that teaching was a way to give back to the community.

Proposition two is focused on social relations. Excellent teachers believed that social relations should be fluid, show connectedness, develop a community of learners, and focus on collaboration and responsibility towards each other all for critical consciousness. On the last point, the relations are developed to be aware of injustices in terms of power dynamics another key part of Marxist thought.

Proposition three addresses conceptions of knowledge or epistemology among excellent teachers. For these teachers, knowledge is not static, which implies it is relative and not fixed, teachers need to be passionate about learning and knowledge, scaffolding is necessary, and there should be multiple forms of assessment.

According to the author, culturally relevant teachers are teachers who demonstrate these propositions in their classes. The goal is to be culturally relevant for developing a critical perspective in the students.

Conclusion

For someone who is looking to understand what critical relevant teaching is this article is an excellent source. Not only is it defined but the author can provide examples from actual teachers in the classroom. Therefore, anybody can implement these examples and be able to show that they are a culturally relevant teacher.

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Critical Race Theory in Education

This post will provide a summary of the the article “Toward a Critical Race Theory of Education” written by Gloria Ladson-Billings and William F. Tate IV. This paper is significant in that it proposes the idea of considering critical race theory as a key component of education.

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The authors assume that anybody who reads this article is already aware of what critical race theory is. In short, critical race theory suggests that the world should be seen through a lens of power as it pertains to race. What this means is that those who have power use race to hold down and oppress those who are of a different race. This is most commonly used in the context of whites vs. blacks in the US.

In terms of the actual article itself, the authors clearly share the following propositions as the main ideas they will address in the paper.

  1. Race continues to be significant in the US
  2.  US society is based on property rights rather than human rights
  3.  The intersection of race and property creates an analytical tool for understanding inequity

Proposition One

The first proposition is almost an axiom of someone who supports the Critical Race Theory view (CRT). Race will always be a major issue in the US because CRT believes that essentially everything begins and ends with a race dynamic. Almost all actions of injustice for blacks and justice for whites are connected with the dynamic of power differences based on race.

What is unique to the first proposition in comparison to the others is that they include several meta-propositions as listed below.

  • Race is un-theorized
  •  Class and gender cannot explain all the differences in school experience and performance

What the authors mean by race being un-theorized is that much of the ideas of Marxism, which laid the foundation for CRT, were developed by White Marxists who were focused on class rather than race and that they oversimplified race. Therefore, theorizing race involves adding nuance to Marxist thought in relation to CRT. For the authors, race is the main construct to consider when explaining inequity. To simplify, theorizing race means explaining the role of race in education in relation to experiences and performance of minority students primarily black students.

The second meta-proposition of the authors is that class and gender cannot explain all the differences in the academic performance of students. The authors support this point with studies about differences in academic performance and behavior when controlling for class and gender. Race must be a part of the explanation in terms of inequity in the educational experiences of students.

Proposition Two

The second proposition the authors share is that the US is based on property rights rather than human rights. The authors support this point with the reality that in the days of the early republic, only land-owning capitalists had full participation in society. They follow this with the point that a government that is focused on property rights is not concerned with the human rights of individuals since not every singe person holds property.

Governments tend to be pragmatic in that the focus on property rights is because property can be taxed. It’s hard to hide land and other large resources so the government protects property in exchange for protection of the property. The rich have generally paid more in taxes because they have more wealth that they develop from their property (or capital if this term is preferred).

The poor are hard to track and often have a smaller obligation in terms of taxes. To tie property rights to education the authors make the next point that places where there is better property have better schools because these schools get more money to spend. For the authors, this is a form of inequity. In other words, the areas of town with more money should share this money with other areas of town that have less. Better property does not imply a better education because all people are equal.

Proposition Three

The third proposition is not stated directly but the thrust of this proposition is a conclusion based on the previous two. Proposition three uses the idea from proposition one about race not being theorized and proposition two about property rights to state that the cause of poverty (lack of property) combined with poor schooling (lack of nice property) among blacks is a form of structural racism. Structural racism is a system within society that fosters racial discrimination.

From here the authors present several interesting ideas. The first is that white privilege is a form of property that is transferable, can be enjoyed, affects reputation, and can be excluded. In terms of transfer it is meant that whiteness can be transferred by having people accept certain norms (acting white). For enjoyment, it is meant that get to enjoy certain advantages in their education (better teachers, etc.). For reputation, things identified as nonwhite are stigmatized. Lastly, for exclusion, resegregation through such things as tracking or gifted programs is also a form of whiteness as property because these programs generally exclude black students according-to the authors.

Multicultural Paradigm

The authors then pivot to a light criticism of multicultural education. Multicultural education is the idea of getting all cultures to mutually respect each other. No culture is superior to any other culture. The authors critique multicultural education for not ensuring justice and becoming part of the existing system. The authors call for a radical critique of the status quo and thus of multicultural education. An incremental approach is never going to work for bringing change. CRT supporters generally disdain the current system and prefer radical change to incremental approaches to solving what they consider are systemic problems.

The authors go on to state that multiculturalism is attempting to please everybody, which is a futile effort. They then state that they are believers in the philosophy of Marcus Garvey. Garvey is famous in part for attempting to move African Americans back to Africa unsuccessfully.

Conclusion

Ladsen-Billlings and Tate provide an excellent introduction to CRT with their emphasis on the theorizing race within the classroom, pointing their views on the focus on property in a capitalist society, and showing how property and race combined can lead to inequality. The authors also state the need for radical change and call on current efforts through multicultural education is be inadequate. Whether this is right or wrong is left to the reader.

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De-Identification of Data

Removing identifying information in data is a self-explanatory term. The purpose of removing identification from data is to protect the people who the data came from. These people can be customers, employees, or other groups for which data has been collected. De-identification can also be performed for compliance reasons and or as a security measure.

People who are responsible for privacy and or data governance in their organization need to be familiar with ways to de-identify data. Therefore, in this post, we will look at two commonly used techniques for removing identification from data. These two methods are.

  • Pseudonymization
  •  Anonymization

Pseudonymization

A pseudonym is a false name. Therefore, in the context of data, pseudonymization is the process of giving false names to data that can help identify somebody. It is similar to having a secret identity in the superhero world. For example, Peter Parker and Spider-Man are the same person but most people do not know this because of the use of a false name.

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Practical ways to achieve pseudonymization with data can include changing text to numbers such as names. Removing information such as date of birth and or removing parts of data in a column such as keeping only the last four digits of a person’s social security number.

One advantage, or perhaps disadvantage, of pseudonymization is that the data can be returned to its original state. This is because whoever altered the data used the same rules for every change they made. The downside to this is if someone else can determine how the data was altered it would allow them to see the original data which could be used to identify someone.

Anonymization

Anonymous means no name. Therefore, anonymization is the process of removing all personal identifying information in a dataset. When this is done the process is not reversible and thus there is no way to determine the identity of the people in the dataset.

An example of anonymization would be to completely remove the names of people in a dataset along with other information such as date of birth and the total removal of phone numbers. Anonymization provides heightened protection but at the loss that even the people who anonymized the data have no idea who the original people are. Whether this is good or bad depends on the context in which the data will be used.

There are industry-specific ways of achieving either pseudonymization or anonymization. Examples include the fields of health care and education. However, at the macro level, all industries are using some combination of pseudonymization and anonymization.

Conclusion

Data privacy is a major concern in the world today. The concern with privacy needs to also be balanced with the need to analyze data for insights. For this reason, many have turned to various ways to de-identify data to support the conflicting concerns of privacy with analysis.

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Rights of Online Students

Two ideas that are discussed widely today are online learning and justice. When looking at these two ideas together it leads to the question of what rights do students have online?

Fortunately, one group has attempted to address this question. ProctorU has proposed a seven-point student bill of rights for online students. This bill of rights provides a framework for discussing this topic. It is not necessary to agree with every point that ProctorU makes. Instead, it is better to consider this as laying the groundwork for a deeper discussion. ProctorU’s framework covers such topics as teaching, academic dishonesty, privacy, and data collection. Below are the seven points.

  1. Have your questions answered
  2.  Have your work presumed to be honest and accurate
  3.  Expect compliance with all privacy laws and policies
  4.  Review and understand policies protecting you and your work
  5.  Review and understand policies keeping others from disadvantaging you
  6.  Understand data collection, retention, and dissemination
  7.  Expect that data collection to be specific and limited

Taken from ProctorU. Student Bill of Rights for Remote and Digital Work. https://studenttestingrights.org/

We will look at the points below. Rather than examine each one individually we will group them on the following topics: teaching, academic dishonesty, and privacy.

Teaching

The first point of the Student Bill of Rights deals with asking questions. Answering questions is related to communication between students and teachers. In online learning, teachers must communicate quickly as this establishes a presence in the online context.

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Communication is a trait of excellent teaching both in the online context and in the traditional teaching format. Other examples of excellent teaching include providing clear, well-planned lessons, and reflection. In general, students have a right to teaching that does not cause confusion. 

Students expect their teachers to provide excellence even if the students do not always show the same commitment. ProctorU has made the claim that answering questions is a right for online students which means that educators need to take notice.

Academic Dishonesty

Points 2, 4, and 5 of the Student Bill of Rights deal with ideas related to academic dishonesty. Academic dishonesty is a major headache in online teaching. Plagiarism and copy/paste, sharing work, etc. are just some of the problems found.

Point 2 of the student bill of rights implies that the work students do is done ethically. However, academic dishonesty is so common that this assumption seems misplaced. Despite this, the teacher is the one who needs to prove that academic dishonesty has taken place

Points 4 and 5 are related to procedural justice. Students have a right to review their school’s policies and know that they are not at a disadvantage compared to their peers. If students think a course is unfair they may justify academic dishonesty to make the course “fair.” To provide an extreme example, if a teacher demands that students memorize 500 words many students would consider that unreasonable and resort to cheating to pass the class.

Lastly, point 5 explains that students who cheat have an advantage over those who do not. Therefore, the teacher has a responsibility to maintain the fairness of the learning environment.

There are ways to reduce the temptation for students to cheat or commit other forms of academic dishonesty. For example, explaining the expectations of assessments is critical to helping students. When developing an online assessment a teacher should be aware of the course objectives, the type of assessment (formative or summative), the process or product focus of the assessment, and whether students will work alone or with others. It is also important to consider the technology needed for the assignment as students may not have the needed technology or lack the skill to use it

It is also critical that all directions are written down and available for the students to look at when needed. There are several things to consider after students complete an assessment. If the students do poorly, it is necessary to reteach the content. However, anyone who has taught online knows how difficult it is to change the content found in the learning management system. One way to address the need for reteaching online is to leave the original activities the same but add additional material for reviewing while also allowing students to retake a quiz or other minor assessment until mastery is achieved. Adding material is easier than rearranging in many circumstances. Providing these opportunities to fix past mistakes is one example of fairness and could discourage academic dishonesty

Privacy

Points 3, 6, and 7 all deal with privacy and data collection. Within the United States, several laws explain the school’s responsibility for data protection. For example, the Family Educational Rights and Privacy Act (FERPA) provides protection for students’ privacy concerning academic data, immunizations, and special needs, also known as personally identifiable information (PII). Upon turning 18, even parents must receive consent from their own child to access the child’s educational records. During the pandemic and the explosion in online learning, the Department of Education provides clarifications about FERPA.

Another law related to privacy is the Children’s Online Privacy Protection Act (COPPA). COPPA is a law in the United States that controls how websites gather data on minors under the age of 13 (Federal Trade Commission, 2013). For educators who may work at the K12 level and or get involved in private industry or non-profit work, it is important to be aware of this as online classes often point students to various websites, and an out-of-compliance website could cause problems.

The Teach Act defends the right of students to learn from copyrighted materials. The Teach Act explains that it is okay for schools to use copyrighted material in traditional or online teaching without prior permission. What this means, as an example, is that a teacher could upload a video and allow students to watch it. A law like this protects an online student’s right to learn.

There are also laws internationally outside the United States that protect a student’s privacy. For example, the EU General Data Protection Regulation (GDPR) provides tough restrictions on the use and sharing of data. What makes this law unique is that it applies not only in Europe but to any institution that has business or students in Europe.

Conclusion

Students have rights and teachers and institutions need to be aware of them. It is more than likely that laws on privacy will become more stringent as people look to protect themselves online.

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Data Privacy Implementation Strategies

Data privacy is a topic that many organizations are addressing. In this post, we will go through several steps that must be taken to implement a data privacy program.

Leadership Sponsor

As with any major initiative, data privacy is going to need the support of leadership. In particular, there will be a need for an advocate on the leadership team who will support the vision of improving data privacy. Who this person is will naturally vary from organization to organization.

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The sponsor is not only an advocate but also serves as a medium of communication between the data privacy team and leadership. The sponsor serves as the eyes and ears for the privacy team to help them to avoid pitfalls is deal with concerns that are not shared directly from the leadership team to the privacy team.

Put Someone in Charge

Implementing any program or strategy requires that someone take the lead. Therefore, when it is time to develop a privacy approach someone needs to be in charge. The selection of the leader will naturally vary from one place to the other. The point is that the leadership sponsor needs someone they can talk to directly about the challenges and concerns that may be made at the leadership level.

Depending on the size of the project there might be more than one person identified as a leader. However, it is generally wiser to start small and scale as appropriate.

Examine the Data

Before any action can take place it is important to take an inventory of available data. Another name for this is the compiling of a data catalog. A privacy leader must know what data needs to be held private. Without this information, it is hard to ensure the quality.

Knowing the data works in combination with the policies and procedures that need to be made. For example, if the data includes personal information this will influence how privacy is maintained versus data that does not contain such information.

Compliance Expectations

Knowledge of the data is used concerning compliance expectations. For a corporation, the compliance standard might be GPDR. For other organizations, compliance might be determined by local laws or organizational standards.

Generally, a privacy team must provide evidence that they are implementing and or obeying compliance standards. Therefore, a team might have to document and archive how they comply with regulations in the event of a data breach and or audit.

Assess Risk

Assessing risk helps to inform the privacy team in terms of what sort of policy and or procedures to implement. Fortunately, it is not necessary to develop this risk assessment in a vacuum. There are risk assessment frameworks such as ISO 31000 or ISO 27005. Either of these frameworks or others can help you to determine the level of danger your data is potentially facing.

Create Policies and Procedures

Policies are broad guidelines based on the context in which it is being developed for. Most websites have some sort of privacy policy that explains how and what data is collected along with its purpose. Privacy policies can include an idea of the roles and responsibilities of the data privacy team as well.

Procedures are the steps that need to be taken to fulfill the policies that were created. In other words, data procedures provide step-by-step guidance of policies. For example, if the policy speaks about the importance of only certain people having access to data a procedure for this might be how to set up a password or to seek permission to access a particular database. Essentially, policies inspire procedures.

Controls

Controls are inspired by risk assessment. In this step, you are implementing ways to mitigate risk to data. For example, it might have been uncovered that sensitive data is too easy to access. The control for this example may be to move the data to more secure data or to ensure that the data is password protected.

The main point here is that all of these measures must be integrated and working together. The data catalog and knowledge of compliance inspire the policies and procedures which in turn helps with the development of controls

Training & Monitoring

Now that almost everything is in place it is time to train people on the new privacy rules. The training will be context specific but is critical for getting buy-in to the new system. Without the cooperation of the masses, there is no hope for the success of the program.

After training, the training is assessed through monitoring. Monitoring assesses how well the program is running. It deals with such challenges as whether people are obeying the new procedures that have been implemented. Monitoring also helps in providing feedback in terms of where there might be growth opportunities. No system is perfect and monitoring provides critical information to strengthen the program.

Conclusion

Data privacy can be improved in any organization. The ideas presented here provide information on how to start a data privacy program. Naturally, all of these steps may not work for each organization but many valuable ideas have been shared to support the protection of privacy.

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Data Privacy

A field closely related to data governance is data privacy. In this post, we will look at what data privacy is as well as principles that need to be kept in mind when trying to keep people’s data private.

Data Privacy

Privacy is a term that is difficult to define. For our purposes, data privacy is the amount of control a person has over personal information in terms of how this information is collected, managed, and stored. This definition gives the impression that people have little data privacy because we are so often compelled to share our information online.

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Websites often require some surrendering of personally identifiable information (PII) such as name, address, phone number, etc while in the medical field, there is demand for personal health information (PHI). Sharing information about yourself can be frustrating for many but is the cost of doing business online. Naturally, once these various online companies have your data they must be sure to protect it.

Data security is not about collecting or managing data. Rather, data security is focused on the protection of data from unauthorized access. Securing data is critical to protect individuals and organizations from harm because of security breaches. For example, there can be serious financial repercussions if someone’s credit card number is stolen online.

Fair Information Practice Principles

With all the concerns regarding data privacy, it was natural that frameworks would be developed to help organizations with data privacy. One such framework is the Fair Information Practice Principles (FIPPs) developed by the Organization of Economic Development back in the early 1980s. Below are the eight principles in this framework.

  1. Limits on data collections-Every organization need to determine the smallest amount of data they can connect while still maintaining success
  2.  Data quality-Data that is collected needs to be accurate and pertinent to the purposes of the organization.
  3.  Purpose determination-There must be a clear compelling reason to collect data.
  4.  Limits of use-Personal data must only be used for its intended purpose.
  5.  Security-Data must be protected
  6.  Transparency-People should know that their data is being collected
  7.  Individual participation-People whose data has been collected have the right to access their data, have it corrected, and or erased
  8.  Accountability-Whoever collects this data is responsible for adhering to the principles listed above

The principles shared above have been adopted by many organizations to provide a foundation on which they can develop their own data privacy policies and philosophy.

Conclusion

Data privacy is a major concern in the world today. Organizations whether online or offline continue to demand more information about their customers. As such, this implies that there must be safeguards in place to ensure the protection of this information.

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Defense & Offense with Data

Within the field of data governance, there are different ways of approaching data and the definition of truth. In this post, we will look at different approaches to data and also how truth can be defined with a data governance framework.

Defense

A defense approach to data is focused on controlling data. This can involve security and stringent governance of data through a highly centralized setting. In addition, the defensive data approach is concerned with minimizing risk and ensuring compliance with standards and expectations. Preventing theft and tracking the flow of data through an organization is also important.

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When analytics are used they are used to detect fraud and unusual activity. How defensive an organization is depends on the field or industry. For example, banking and health care are highly defensive due to the type of data they gather.

Offense

An offensive approach to data is focused on developing insights with data. The goal is not to protect but to develop insights for decision-making. An offensive approach to data is characterized by flexibility and being focused on the customer. This style of approaching data is generally emphasizing a decentralized style of data governance.

Organizations that find themselves in highly competitive environments often are forced to become more offensive as they search for insights to maximize profits. How much offensive and defensive an organization needs does vary. However, in general, most if not all organizations start defensive and slowly become more offensive in nature.

Truth

Whether the approach to data is offensive or defensive it is important to determine what is the truth when it comes to data in an organization. Every organization needs a single source of truth (SSOT) for critical data. The SSOT is language used within data that is the same across an organization. For example, sometimes the same name can be entered in multiple different ways in an organization’s data. Take the company AT&T as an example it could be entered in some of the following ways

ATT

att

Att

AT and T

AT&T

Each of the examples above can be considered different and can lead to chaos when it is time to analyze data for insights. This is because redundant names can lead to redundant costs. For example, if AT&T was a vendor for our fictitious company there might be several different contracts with AT&T with several different divisions who all spell AT&T differently. To prevent this the SSOT will define the one way to code AT&T into the system and determine what it represents.

However, keeping the offensive approach to data in mind. There are times for the purpose of analysis that the SSOT can be modified. Doing this leads to what is called multiple versions of truth (MVOT). An example of MVOT is a department that classifies our example of AT&T different way from the SSOT. Accounting might see AT&T as a vendor while marketing might see AT&T as their internet provider, etc. Since everyone knows what the SSOT is they are aware when they make a MVOT for their distinct purpose.

Conclusion 

Each organization needs to decide for themselves what approach to data they want to take. There is no right or wrong way to approach data it really depends on the situation. In addition, every organization needs to determine for itself how they will define truth and there is no single way to do this either. What organizations need to do is address these two topics in a way that is satisfying for them.

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Juvenile Justice Programs, Practices, & Policies

In this post, we will look at juvenile justice programs, practices, and policies. Each of these terms plays a different role within the juvenile justice system.

Program

A program in juvenile justice is a designed package that has clear procedures for delivery, has manuals, and provides technical assistance. In addition, the outcome is commonly related to some sort of change such as recidivism. Two commonly implemented programs are multisystemic therapy and functional family therapy.

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Another key aspect of a program within juvenile justice is recidivism. Programs are generally designed for specific use through the use of a logic model. A logic model is a visual depiction that shows the relationship among the resources, activities, outcomes, and outputs of a program. In other forms of social science research, the logic model is called a conceptual framework however these two concepts are not exactly the same. Logic models depict relationships while conceptual frameworks are a proposed theory that is attempting explain why certain outcomes take place.

Practice

PRactices in juvenile justice are not as clearly defined as programs are. In general, practices in juvenile justice are essentially programs that are more flexible in their application and use. For example, the design may not be as rigorous and the instructions made not be as detailed.

Due to their more flexible nature practices are often more general in nature and can thus be applied in different situations. To make things more confusing some programs are considered practices if they are more flexible than highly controlled programs. One common practice is the Treatment in Secure Corrections for Serious Juvenile Offenders.

Policies

Policies are regulations that apply to the general population. Policies generally lack empirical evidence for their usefulness in supporting youth. However, policies do provide guidance and structure which shows that they serve a different role than what is found with programs and practices.

Evaluating Programs and Practices

There are times when programs and practices are evaluated for their usefulness. Below are some commonly used ways to evaluate programs and practices.

One way to evaluate a program is the quality of the evidence or data. For example, randomized controlled experiments are considered the gold standard. Therefore, other methods of collecting data such as quasi-experiments and surveys will affect the perceived quality of a program.

A second criterion is looking at the quality and extensiveness of the research of the program. What this means is the quality and quantity of research that has assessed the value of a program. If a program has multiple studies that are a witness to its worthiness and these studies are of high quality it raises the value of this program.

A third criterion is the expected impact of a program. By expected impact, it is meant the effect size. The effect size is something that is extracted in the data analysis aspect of a study and helps to provide a number of the impact of a study. Programs with stronger effect sizes are seen as better.

Finally, another criterion for program/practice quality is the adoption rate. In other words, how many other people are using the program/practice? Tracking adoption is higher but there are program registries that have vetted programs and recommend them. Examples of program registries include crimesolutions and blueprints. Both of these registries have graded programs and provide links to studies about the programs.

Conclusion

Programs, practices, and policies all play a critical role in helping youth in the juvenile justice system. People who work within this system need to be aware of the meaning of these terms as well as how to judge good from bad programs. 

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Data Governance Methodology

Data governance is becoming more and more common in today’s world. In this post, we will look at one commonly used process of implementing data governance. The steps are explained below.

Scope & Initiation

The first step in setting up a data governance system is to determine the scope of data governance. By scope, it means how deep and wide the program will be. In other words, you have to determine what will be governed and how thoroughly it will be governed.

It may surprise some that not all data is governed by data governance. For each organization, it will be different but generally, all organizations have data that is excluded from data governance. For example, some organizations will include emails under data governance while others will not. It depends on the situation and there is no single rule.

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In addition, it is important to determine how thorough the governance will be. An example of this would be the tolerance for data quality issues. There are times were some data errors are permissible as long as they do not exceed a certain threshold but this also depends on the context

Assess

At the assessment stage, the purpose is to determine an organization’s ability to govern data and be governed by policies. Generally, there are three ways of assessing this and they are measuring the capacity to change, the culture of data use, and the ability to collaborate.

The capacity to change is self-explanatory and is a measure of an organization’s ability to accept new policies such as data governance policies. The data use culture is looking at how an organization uses data at that moment. Lastly, collaboration looks at how well people within the organization can work together. Collaboration is critical because data governance generally affects the entire organization and people from multiple departments must work together.

Vision

The vision is where terms are defined and steps going forward are set. For example, the organization needs to define what data governance is for them. In addition, requirements for doing data governance are also developed.

Vision setting is a theoretical experience and this is often boring for the more practical action-oriented individuals. However, setting the vision sets the tone for the rest of the project. Therefore, this must be planned and developed.

Align & Business Value

Aligning and business value is for determining the financial value of incorporating data governance into an organization and also refining how things will be measured. For profit-seeking organizations business value is critical. Most projects need to make or at least save money in this setting. For non-profit organizations, the motivation might be to increase efficiency or the ability to better serve stakeholders.

It’s not enough to talk about savings. Evidence must be provided for determining actual savings. This is where metrics come into play. There must be ways to measure the value of a data governance project. Again, how to do this will vary from place to place but it needs to be addressed.

Functional Design

Functional design is focused on the actual process of doing data governance. What will be done must be determined as well as established roles that support this process as well. Principles are often developed at this step and principles are similar to goals in terms of what is expected from implementing data governance. Following principles, the next thing that is developed are standards which are similar objectives in education in which you have some sort of measurable action.

Best practices often encourage data governance to be embedded within existing roles and responsibilities. In other words, setting up another department within an organization and calling it data governance is generally not considered the best way to make this happen.

Governing Framework Design

Once the plan has been developed it is time to find the people who will implement it. governing framework involves assigning processes to people and setting up the various roles associated with data governance. Generally. a lot of the aspects of data governance are being done at an organization but in a disjointed unaware way. Therefore, the main benefit here is not so much to give out more work but rather to make it clear who is already doing what and make sure they are aware of it.

Road Map

The road map step involves data governance going live. This is the point where data governance is integrated into the existing organization. Other things that are done at this step are designing metrics and reporting requirements. In other words, how good or bad does performance have to be on a standard and how will this be reported?

Change management is also addressed here and involves dealing with resistance and making sure that the scope and or goals of the project do not change. There are times when a project will wander from its original purpose which can be frustrating for people.

Rollout and Sustain

Roll out and sustain involves executing the plan and checking its effectiveness. Essentially, this step involves monitoring the data governance implementation and making corrections as necessary.

Conclusion

Data governance is a critical part of most organizations today. However, it can be tricky to figure out how to make this a part of an organization. The information above provides an example of how this could be done.

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Types of Justice in the Classroom

Justice can look many different ways. In this post, we will look at three different forms of justice procedural, substantive, and negotiated. In particular, we will look at how these different forms of justice work within the classroom.

Procedural Justice

Procedural justice means that the disciplinary power of the teacher is only used within the constraints of the policies and rules of the school. For example, most schools do not allow corporal punishment. What this means is that a teacher who makes the decision to spank a student has violated what is considered to be an acceptable process for discipline within that school.

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Procedural justice also has to do with maintaining fairness. In other words, rules cannot be randomly enforced based on a teacher’s mood. When teachers are not consistent in the application and enforcement of rules it gives the appearance of unfairness and injustice to the students. When this happens it can trigger even more undesirable behavior from students.

However, everyone has their moments of inconsistencies, including teachers. Therefore, when a teacher makes a mistake in procedural justice it is wise to acknowledge the mistake and make efforts to correct the misstep. Doing this will help students maintain faith in a system that when it makes mistakes it tries to correct them.

Substantive Justice

Substantive justice is the unequal impact enforcing rules has on different groups. A common example of substantive justice in the classroom is the disproportional amount of trouble males and minorities get into within the classroom.

Dealing with race and gender are both highly controversial topics. Therefore, teachers must be careful to be aware of these two demographic traits of their students. The perception of differences in justice due to substantive differences in demographic traits could lead to serious accusations and headaches.

Negotiated Justice

Negotiated justice is the process of how justice is discovered and carried out. A practical example would be a court trial. During the trial, the truth is sought so that justice can be delivered. In the classroom, there are many different ways in which teachers uncover what to do when it is time to administer justice.

For example, in some classes, a teacher will have both parties sit down and discuss what happened. In other classes, the students may be sent to the office to work out their disagreement. If the teacher witnessed what happened, there may be no questioning at all.

The ultimate point here is that a teacher needs to be aware of how they go about determining guilt and innocence in their classroom. At times, the emotions of teachers will overwhelm them and they may make just or unjust decisions without knowing how they made their decision. Naturally, we want to avoid unjust decisions but no matter what decision was made it is important to be aware of how the decision was developed.

Conclusion

Teachers must be careful with how they deal with justice in their classrooms. There is always a danger of being accused of oppression when you have power and authority over others. Awareness is at least one way that this problem can be avoided.

close up photography of person in handcuffs

Views of Punishment

Punishment is a part of juvenile justice. However, as with most ideas and concepts, there is disagreement over the role and function of punishment. In this post, we will look at common positions in relation to punishment.

Reductivist

The reductivist position on punishment views punishment as a means to prevent future crimes. This approach is based on a utilitarian position of causing the most happiness for the most people. By focusing on future crimes it is believed that preventing these crimes will bring the most harmony and happiness to people rather than looking at what has already happened.

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There are several strategies that are used to support a reductivist approach. For example, the use of deterrence. Deterrence is the use of punishment to prevent crime by instilling fear. An example of deterrence would be capital punishment. Through hanging or public execution, the thought is that this will motivate others to be good. Other forms of deterrence that are used today would be boot camps which are meant to whip delinquent youths into shape and in some countries, corporal punishment such as caning is employed to maintain order.

Another manifestation of reductivism is reform-rehabilitation. Reform is meant to mean hard labor, such as working in a chain gang along with religious instruction. Rehabilitation involves treatment for some sort of vice that may have led to incarceration such as substance abuse, sex treatment, etc. The assumption is that there is something wrong with the prisoner that can be fixed through treatment. Again, the motivation behind reform and rehabilitation is to change the person for the benefit of society.

A final form of reductivism is incapacitation. Incapacitation is simply a strategy of keeping offenders locked up to protect the public. One way this was done was through the three strikes law used in parts of the United States. Once a person committed a third felony the sentencing could be 25 years to life.

Retributivist

The retributivist position looks to punish people for crimes already committed with no regard for the future. In other words, retributivists focus on the past while reductivists focus on the future. Punishment should restore equilibrium and focus on what is right to do rather than what is good to do (utilitarian position). The reason for this distinction is that right and wrong are more immovable than what makes people happy.

The main strategy for retribution is just deserts. Just deserts are a way of punishing people for the crimes they have committed and doing no more. As such, there is no support for three-strike laws, deterrence, or other methods among people who have a retributivist perspective.

Conclusion

The point is not to state that one of these positions is superior to the other. Rather, the goal was to explain these two different positions to inform the reader about them. There are times and circumstances in which one of the positions would be a better position than the other.

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Terms Related to Data Storage

There are several different terms used when referring to data within an organization that can become confusing for people who are not experts in this field. In this post, we will look at various terms that are often misused in the field of data management.

Database

Databases are for structured data which is data that has rows and columns. Among the many benefits of using a database over an Excel spreadsheet is that databases can hold almost limitless amounts of data. In addition, databases can have multiple users querying and inputting data at the same time which is not possible with a spreadsheet.

Data Warehouse

A data warehouse is a computer system designed to store and analyze large amounts of data for an organization. The data for a data warehouse can come from various areas within the organization. Since the data comes from many different places it also helps to integrate data for the purpose of analysis which is valuable for decision-making and insights.

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Data warehouses take pressure off databases by providing another location for data. However, because of their size, often over 100 GB, data warehouses are hard to change once they are up and running. Therefore, great care is needed when developing and using this tool.

Data Marts

Data marts are similar to data warehouses with the main difference being the scope. Like data warehouses, data marts are also databases. However, data marts are focused on one subject or department whereas data warehouses gather data from all over an organization. For example, a school might have a data warehouse for all student data while it has a data mart that only holds student classes and grades.

Since they have a focus on a given subject, data marts are generally smaller than data warehouses at less than 100 GB. The rationale of a data mart is that analytic teams can focus when trying to develop insights rather than searching through a larger data warehouse.

Data Lake

Data lakes are also similar to data warehouses. Just like a data warehouse data lakes contain data from all over the organization from many sources. Data lakes are also generally larger than 100 GB. One of the main differences is that data lakes contain structured and unstructured data. Unstructured data is data that does not fit into rows and columns. Examples can include video data, social media, and images.

Another purpose for a data lake is to have a place for keeping data that may not have a specific purpose yet. Another to think of this is to consider a data lake as a historical repository of data. Due to their multipurpose nature, data lakes are often less complex in comparison to data warehouses.

Conclusion

All of the various data products discussed here work together to give an organization access to its data. It is important to understand these different terms because it is common for people to use them interchangeably to the confusion of everyone involved. With consistent terminology, everyone can be on the same page when it comes to delivering value through using data.

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Types of Data Quality Rules

Data quality rules are for protecting data from errors. In this post, we will learn about different data quality rules. In addition, we will look at tools used in connection with data quality rules.

Detective

Detective rules monitor data after it has already moved through a pipeline and is being used by the organization. Detective rules are generally used when the issues that are being detected are not causing a major problem when the issue cannot be solved quickly, and when a limited number of records are affected.

Of course, all of the criteria listed above are relative. In other words, it is up to the organization to determine what thresholds are needed for a data quality rule to be considered a detective rule.

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An example of a detective data quality rule may be a student information table that is missing a student’s uniform size. Such information is useful but probably not worthy enough to stop the data from moving to others for use.

Preventative 

Preventive data quality rules stop data in the pipeline when issues are found. Preventive rules are used when the data is too important to allow errors, when the problem is easy to fix, and or when the issue is affecting a large number of records. Again, all of these criteria are relative to the organization.

An example of a violation of a data quality prevention rule would be a student records table missing student ID numbers. Generally, such information is needed to identify students and make joins between tables. Therefore, such a problem would need to be fixed immediately.

Thresholds & Anomaly detection

There are several tools for implementing detection and prevention data quality rules. Among the choices are the setting of thresholds and the use of anomaly detection.

Thresholds are actions that are triggered after a certain number of errors occurred. It is totally up to the organization to determine how to set up their thresholds. Common levels include no action, warning, alert, and prevention. Each level must have a minimum number of errors that must occur for this information to be passed on to the user or IT.

To make things more complicated you can tie threshold levels to detective and preventive rules. For example, if a dataset has 5% missing data it might only flag it as a warning threshold. However, if the missing data jumps to 10% it might now be a violation of a preventative rule as the violation has reached the prevention level.

Anomaly detection can be used to find outliers. Unusual records can be flagged for review. For example, a university has an active student who was born in 1920. Such a birthdate is highly unusual and the system should flag it as an outlier by the rule. After reviewing, IT can decide if it is necessary to edit the record. Again, anomaly detection can be used to detect or prevent data errors and can have thresholds set to them as well.

Conclusion

Data quality rules can be developed to monitor the state of data within a system. Once the rules are developed it is important to determine if they are detective or preventative. The main reason for this is that the type of rule affects the urgency with which the problem needs to be addressed.

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Data Profile

One aspect of the data governance experience is data profiling. In this post we will look at what a data profile is, an example of a simple data profile, and the development of rules that are related to the data profile.

Definition

Data profiling is the process of running descriptive statistics on a dataset to develop insights about the data and field dependencies. Some questions there are commonly asked when performing a data profile includes.

  • How many observations are in the data set?
  •  What are the min and max values of a column(s)?
  •  How many observations have a particular column populated with a value (missing vs non-missing data)?
  •  When one column is populated what other columns are populated?

Data profiling helps you to confirm what you know and do not know about your data. This knowledge will help you to determine issues with your data quality and to develop rules to assess data quality.

Student Records Table

StudentIDStudentFirstNameStudentLastNameStudentBirthDateStudentClassLevel
1001MariaSmith04/04/2000Senior
1002Chang09/12/2004Junior
1003FranciscoBrownJunior
1004MatthewPeter01/01/2005Freshman
1005Martin02/05/2002Sophmore

The first column from the left is the student id. Looking at this column we can see that there are five records with data. That this column is numeric with 4 characters. The minimum value is 1001 and the max value is 1005.

The next two columns are first name and last name. Both of these columns are string text with a min character length of 5 and a max length of 7 for first name and 5 for last name. For both columns, 80% of the records are populated with a value. In addition, 60% of the records have a first name and a last name.

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The fourth column is the birthdate. This column has populated records 80% of the time and all rows follow a MM/DD/YYYY format. The minimum value is 04/04/2000 and the max value is 01/01/2005. 40% of the rows have a first name, last name, and birthdate.

Lastly, 100% of the class-level column is populated with values. 20% of the values are senior, 40% are junior, 20% are sophomore, and 20% are freshman.

Developing Data Quality Rules

From the insights derived from the data profile, we can now develop some rules to ensure quality. With any analysis or insight the actual rules will vary from place to place based on needs and context but below are some examples for demonstration purposes.

  • All StudentID values must be 4 numeric characters
  •  The Student ID values must be populated
  •  All StudentFirstName values must be 1-10 characters in length
  •  All StudentLastName values must be 1-10 characters in length
  •  All StudentBirhdate values must be in MM/DD/YYYY format
  •  All StudentClassLevel values must be Freshman, Sophomore,, Junior, or Senior

Conclusion

A data profile can be much more in-depth than the example presented here. However, if you have hundreds of tables and dozens of databases this can be quite a labor-intensive experience. There is software available to help with this but a discussion of that will have to wait for the future.

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Data Quality

Bad data leads to bad decisions. However, the question is how can you know if your data is bad. One answer to this question is the use of data quality metrics. In this post, we will look at a definition of data quality as well as metrics of data quality

Definition

Data quality is a measure of the degree that data is appropriate for its intended purpose. In other words, it is the context in which the data is used that determines if it is of high quality. For example, knowing email addresses may be appropriate in one instance but inappropriate in another instance.

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When data is determined to be of high quality it helps to encourage trust in the data. Developing this trust is critical for decision-makers to have confidence in the actions they choose to take based on the data that they have. Therefore data quality is of critical importance for an organization and below are several measures of data quality.

Measuring Data Quality

Completeness is a measure of the degree to which expected columns (variables) and rows (observations) are present. There are times when data can be incomplete due to missing data and or missing variables. There can also be data that is partially completed which means that data is present in some columns but not others. There are various tools for finding this type of missing data in whatever language you are using.

Validity is a measure of how appropriate the data is in comparison to what the data is supposed to represent. For example, if there is a column in a dataset that measures the class level of high school students using Freshman, Sophmore, Junior, and Senior. Data would e invalid if it use the numerical values for the grade levels such as 9, 10, 11, and 12. This is only invalid because of the context and the assumptions that are brought to the data quality test.

Uniqueness is a measure of duplicate values. Normally, duplicate values happen along rows in structured data which indicates that the same observation appears twice or more. However, it is possible to have duplicate columns or variables in a dataset. Having duplicate variables can cause confusion and erroneous conclusions in statistical models such as regression.

Consistency is a measure of whether data is the same across all instances. For example, there are times when a dataset is refreshed overnight or whenever. The expectation is that the data should be mostly the same except for the new values. A consistency check would assess this. There are also times when thresholds are put in place such that the data can be a little different based on the parameters that are set.

Timeliness is the availability of the data. For example, if data is supposed to be ready by midnight any data that comes after this time fails the timeliness criteria. Data has to be ready when it is supposed to be. This is critical for real-time applications in which people or applications are waiting for data.

Accuracy is the correctness of the data. The main challenge of this is that there is an assumption that the ground truth is known to make the comparison. If a ground truth is available the data is compared to the truth to determine the accuracy.

Conclusion

The metrics shared here are for helping the analyst to determine the quality of their data. For each of these metrics, there are practical ways to assess them using a variety of tools. With this knowledge, you can be sure of the quality of your data.

man showing distress

Data Governance Solutions

Data governance is good at indicating various problems an organization may have with data. However, finding problems doesn’t help as much as finding solutions does. This post will look at several different data governance solutions that deal with different problems.

Business Glossary

The business glossary contains standard descriptions and definitions. It also can contain business terms or discipline-specific terminology. One of the main benefits of developing a business glossary is creating a common vocabulary within the organization.

Many if not all businesses and fields of study have several different terms that mean the same thing. In addition, people can be careless with terminology, to the confusion of outsiders. Lastly, sometimes a local organization will have its own unique terminology. No matter the case the business dictionary helps everyone within an organization to communicate with one another.

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An example of a term in a business dictionary might be how a school defines a student ID number. The dictionary explains what the student ID number is and provides uses of the ID number within the school.

Data Dictionary

The data dictionary provides technical information. Some of the information in the data dictionary can include the location of data, relationships between tables, values, and usage of data. One benefit of the data dictionary is that it promotes consistency and transparency concerning data.

Returning to our student ID number example, a data dictionary would share where the student ID number is stored and the characteristics of this column such as the ID number being 7 digits. For a categorical variable, the data dictionary may explain what values are contained within the variable such as male and female for gender.

Data Catalog

A data catalog is a tool for metadata management. It provides an organized inventory of data within the organization. Benefits of a data catalog include improving efficiency and transparency, quick locating of data, collaboration, and data sharing.

An example of a data catalog would be a document that contains the metadata about several different data warehouses or sources within an organization. If a data analyst is trying to figure out where data on student ID numbers are stored they may start with the data catalog to determine where this data is. The data dictionary will explain the characteristics of the student ID column. Sometimes the data dictionary and catalog can be one document if tracking the data in an organization is not too complicated. The point is that the distinction between these solutions is not obvious and is really up to the organization.

Automated Data Lineage

Data lineage describes how data moves within an organization from production to transformation and finally to loading. Tracking this process is really complicated and time-consuming and many organizations have turned to software to complete this.

The primary benefit of tracking data lineage is increasing the trust and accuracy of the data. If there are any problems in the pipeline, data lineage can help to determine where the errors are creeping into the pipeline.

Data Protection, Privacy, QUailty 

Data protection is about securing the data so that it is not tampered with in an unauthorized manner. An example of data protection would be implementing access capabilities such as user roles and passwords.

Data privacy is related to protection and involves making sure that information is restricted to authorized personnel. Thus, this also requires the use of logins and passwords. In addition, classifying the privacy level of data can also help in protecting it. For example, salaries are generally highly confidential while employee work phone numbers are probably not.

Data quality involves checking the health of the accuracy and consistency of the data. Tools for completing this task can include creating KPIs and metrics to measure data quality, developing policies and standards that defined what is good data quality as determined by the organization, and developing reports that share the current quality of data.

Conclusion

The purpose of data governance is to support an organization in maintaining data that is an asset to the organization. In order for data to be an asset it must be maintained so that the insights and decisions that are made from the data are as accurate and clear as possible. The tools described in this post provide some of the ways in which data can be protected within an organization.

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Total Data Quality

Total data quality as its name implies is a framework for improving the state of data that is used for research and reporting purposes. The dimensions that are used to assess the quality of data are measurement and representation

Measurement

Measurement is focused on the values gathered on the variable(s) of interest. When assessing measurement researchers are concerned with.

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  • Construct-The construct is the definition of the variable of interest. For example, income is can be defined as a person’s gross yearly salary in dollars. However, salary can also be defined as per month or as the net after taxes to show how this construct can be defined differently. The construct validity must also be determined to ensure that it is measuring what it claims to measure.
  •  Field-This is the place where data is collected and how it is collected. For example, our income variable can be collected from students or working adults. Where the data comes from affects the quality of the data concerning the research problem and questions. If the research questions are focused on student income then collecting income data from students ensures quality. In addition, how the data is encoded matters. All student incomes need to be in the same currency in order to make sense for comparision
  •  Data Values-This refers to the tools and procedures for preparing the data for analysis to ensure high-quality values within the data. Such challenges addressed are dealing with missing data, data entry errors, duplications, assumptions for various analytical approaches, and or issues between variables such as high correlations.

Representation

Representation looks at determining if the data collected comes from the population of interest. Several concerns need to be addressed when dealing with representation.

  • Target population- The target population is potential participants in the study. The limitation here is determining the access of the target population. For example, studies involving children can be difficult because of ethical concerns over data collection with children. These ethical concerns limit access at times.
  •  Data sources- Data sources are avenues for obtaining data. It can relate to a location such as a school or to a group of people such as students among other definitions. Once access is established it is necessary to specifically determine where the data will come from.
  •  Missing data-Missing data isn’t just looking at what data is not complete in a dataset. Missing data is also about looking at who was left out of the data collection process. For example, if the target population is women then women should be represented in the data. In addition, missing data can also look at who is represented in the data but should not be. For example, if women are the target population then there should not be any men in the dataset.

Where measurement and representation meet is at the data analysis part of a research project. If the measurement and representation are bad it is already apparent that the data analysis will not yield useful insights. However, if the measurement and representation are perfect but the analysis is poor then you are still left without useful insights.

Conclusion

Measurement and representation are key components of data quality. Researchers need to be aware of these ideas to ensure that they are providing useful results to whatever stakeholders are involved in a study.

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Data Types

There are many different ways that data can be organized and classified. In this post, we will look at data as it is classified by purpose. Essentially, data can be gathered for non-research or research purposes. Data collected for non-research purposes is called gathered data and data collected for research purposes is called designed data.

Gathered Data

Gathered data is data that is obtained from sources that were not developed with the intention of conducting research specifically. Examples of gathered data would be data found in social media such as Twitter or YouTube and data that is scraped from a website. In each of those examples, data was collected but not necessarily for an empirical theory testing purpose.

Gathered data is also collected in many ways beyond websites. Other modes of data collection could be sensors such as traffic light cameras, transactions such as those at a store, and wearables such as those used during exercise.

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Just because the data was not collected for research purposes does not mean that it cannot be used for this purpose. Gathered data is frequently used to support research as it can be analyzed and insights developed from it. The challenge is that the gathered data may not directly address whatever research questions a researcher may have which necessitates using this data as a proxy for a construct or rephrasing research questions to align with what the gathered data can answer. Gathered data is also referred to as big data or organic data.

Designed data

Designed data is data that was developed and collected for a specific research purpose. Often this data is collected from people or establishments for answering scientifically designed research questions. A common way of collecting this form of data is the use of a survey and these surveys can be conducted in-person, online, and or over the phone. These forms of data collection are in contrast to gathered data which collects data passively and without human interaction. This leads to an important distinction in that gathered data is probably strictly quantitative because of its impersonal nature while designed data can be quantitative and or qualitative in nature because it is possible to have a human element in the collection process.

When a researcher wants designed data they will go through the process of conducting research which often includes developing a problem, purpose, research questions, and methodology. All of these steps are commonly involved in conducting research in general. The data that is collected for design purposes is then used to address the research questions of the study.

The purpose of this process is to ensure that the data collected will answer the specific questions the researcher has in mind. In other words, designed data is designed to answer specific research questions while gathered can hopefully answer some questions.

Conclusion

Understanding what data was collected for is beneficial for researchers because it helps them to be aware of the strengths and weaknesses the data may have based on its purpose. Neither gathered nor designed data is superior to the other. Rather, the difference is in what was the inspiration for collecting the data.

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Data Governance Office

The data governance office or team are the leaders in dealing with data within an organization. This team is comprised of several members such as

  • Chief Data Officer
  •  Data Governance Lead
  •  Data Governance Consultant
  •  Data Quality Analyst

We will look at each of these below. It also needs to be mentioned that a person might be assigned several of these roles which are particularly true in a smaller organization. In addition, it is possible that several people might fulfill one of these roles in a much larger organization as well.

Chief Data Officer

The chief data officer is responsible for shaping the overall data strategy at an organization. The chief data officer also promotes a data-driven culture and pushes for change within the organization. A person in this position also needs to understand the data needs of the organization in order to further the vision of the institution or company.

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The role of the chief data officer encompasses all of the other roles that will be discussed. The chief data officer is essentially the leader of the data team and provides help with governance consulting, quality, and analytics. However, the primary role of this position is to see the big picture for big data and to guide the organization in this regard, which implies that technical skills are beneficial but leadership and change promotion is more critical. In sum, this is a challenging position that requires a large amount of experience

Data Governance Lead

The data governance leads primary responsibilities to involve defining policies and data governance frameworks. While the chief data officer is more of an evangelist or promoter of data governance the data governance lead is focused on the actual implementation of change and guiding the organization in this process.

Essentially, the data governance lead is in charge of the day-to-day operation of the data governance team. While the chief data officer may be the dreamer the data governance lead is a steady hand behind the push for change.

Data Governance Consultant

The data governance consultant is the subject matter expert in data governance. Their role is to know all the details of data governance in the general field and even better if they know how to make data governance happen in a particular discipline. For example, a data governance consultant who knows how to make data governance happen within the context of a university in particular.

The data governance consultant supports the data governance lead with implementation. In addition, the consultant is a go-between for the larger organization and IT. Serving as a go-between implies that the consultant is able to effectively communicate with both parties on a technical level with IT and in a layman’s matter with the larger organization. The synergy between IT and the larger organization can be challenging because of communication issues due to vastly different backgrounds and it is the consultant’s responsibility to bridge this gap.

Data Quality Analyst

The data quality analyst’s job is as the name implies to ensure quality data. One way of determining data quality is to develop rules for data entry. For example, a rule for data quality is that marital status can only be single, married, divorced, or widowed. This rule restricts any other option that people may want. When this rule is supported it is an example of high quality within this context.

A data quality analyst also performs troubleshooting or root cause investigations. If something funny is going on in the data such as duplicates, it is the data quality analyst’s job to determine what is causing the problems and to find a solution. Lastly, a data quality analyst is also responsible for statistical work. This can include statistical work that is associated with the work of a data analyst and or statistical work that monitors the use of data and the quality of data within the organization.

Conclusion

The data governance team plays a critical role in supporting the organization with reliable and clean data that can be trusted to make actionable insights. Even though this is a tremendous challenge it is an important function in an organization.