Archive for the 'Evaluation theory' Category

Apr 16 2013

“outcome harvesting”… forensics-informed evaluation approach

Outcome Harvesting is an evaluation approach developed by Ricardo Wilson-Grau. Using a forensics approach, outcome harvesting has the evaluator or ‘harvester’ retrospectively gleans information from reports, personal interviews, and other sources to document how a given program, project, organization or initiative has contributed to outcomes. Unlike so many evaluation approaches that begin with stated outcomes or objectives, this approach looks for evidence of outcomes, and explanations for those outcomes, in what has already happened… a process the creators call ‘sleuthing.’

This approach blends together, and maybe eliminates the distinctions, among intended and unintended outcomes. Evaluators are enjoined to look beyond what programs say they will do to what they actually do, but in an objectives driven approach this requires evaluators to convince clients that this is important or necessary, and justifying the expenditure of evaluation resources on a broader concept of outcomes than is often defined.

Wilson-Grau has written a clear explanation of the process, which can be downloaded here. In the downloadable pdf, the six steps of outcome harvesting are summarized:

1. Design the Outcome Harvest: Harvest users and harvesters identify useable questions to guide the harvest. Both users and harvesters agree on what information is to be collected and included in the outcome description as well as on the changes in the social actors and how the change agent influenced them.
2. Gather data and draft outcome descriptions: Harvesters glean information about changes that have occurred in social actors and how the change agent contributed to these changes. Information about outcomes may be found in documents or collected through interviews, surveys, and other sources. The harvesters write preliminary outcome descriptions with questions for review and clarification by the change agent.
3. Engage change agents in formulating outcome descriptions: Harvesters engage directly with change agents to review the draft outcome descriptions, identify and formulate additional outcomes, and classify all outcomes. Change agents often consult with well- informed individuals (inside or outside their organization) who can provide information about outcomes.
4. Substantiate: Harvesters obtain the views of independent individuals knowledgeable about the outcome(s) and how they were achieved; this validates and enhances the credibility of the findings.
5. Analyze and interpret: Harvesters organize outcome descriptions through a database in order to make sense of them, analyze and interpret the data, and provide evidence-based answers to the useable harvesting questions.
6. Support use of findings: Drawing on the evidence-based, actionable answers to the useable questions, harvesters propose points for discussion to harvest users, including how the users might make use of findings. The harvesters also wrap up their contribution by accompanying or facilitating the discussion amongst harvest users.

Other evaluation approaches (like the Most Significant Change technique or the Success Case Method) also look retrospectively at what happened and seek to analyze who, why and how change occurred, but this is a good addition to the evaluation literature. An example of outcome harvesting is described on the BetterEvaluation Blog. A short video introduces the example. watch?v=lNhIzzpGakE&feature=youtu.be

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Feb 28 2013

If your job involves doing evaluation (and whose doesn’t), you might be sued

For many professionals doing evaluation is part of the job. Lawyers make evaluative judgements about the quality of evidence; teachers judge the quality of students’ learning; builders judge the quality of materials. All work entails judgements of quality, and the quality of work is dependent on doing good evaluations.

But what happens when the evaluation done as part of professional work is contested? You might just find yourself being sued. Such is the case with Dale Askey, librarian at McMaster University. Askey’s job requires him to make judgements about the quality of published works and in turn publishers to make wise procurement decisions for his employer, decisions that have become ever more difficult with shrinking resources. The case can be easily summarized:

Librarian questions quality of a publishing house.

Librarian publicly criticizes said press on his personal blog.

Two years later, librarian and current employer get sued for libel and damages in excess of $4 million.

Read more: http://www.insidehighered.com/news/2013/02/08/academic-press-sues-librarian-raising-issues-academic-freedom#ixzz2MDEYx2An
Inside Higher Ed

There is no reason to believe that Askey rendered his judgement about the quality of scholarship offered by Mellen Press in a capricious or incompetent manner. Making judgements for procurement decisions is surely one of the tasks that Askey’s employer expects him to do, especially in a time of diminishing resources.

There has been considerable support for Askey, some a bit misguided by defending his write to express his opinion on his blog, but most in defense of Askey’s responsibility to do his job.

Screen Shot 2013-02-28 at 9.20.31 AMThere is every reason to expect that the Mellen Press lawsuit will be dismissed as was the similar lawsuit brought by Mellen Press against Lingua Franca.

So what is the relevance for evaluation? It is clear that evaluation is integral to all and applied in virtually all other intellectual and practical domains… it is as Michael Scriven claims, a trans-discipline. As such, there is a need to pay more attention in preparing people to do publicly defensible evaluations in the context of their work. Perhaps more than program evaluation, this sort of evaluative thinking might be the raison d’etre for the discipline of evaluation.

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Feb 19 2013

Evaluators cannot be useful if their only skill is data generation

Published by under Evaluation theory

The New York Times columnist David Brooks nicely captures the problem that Carol Weiss identified several decades ago… data doesn’t speak authoritatively, nor should it. In evaluation and in decision making we take into account loads of data, available to us in greater amounts and more sophisticated ways, but it still is never enough on its own.

Brooks highlights the limitations of what he calls “big data.”

Data struggles with the social. Your brain is pretty bad at math (quick, what’s the square root of 437), but it’s excellent at social cognition. People are really good at mirroring each other’s emotional states, at detecting uncooperative behavior and at assigning value to things through emotion.

Computer-driven data analysis, on the other hand, excels at measuring the quantity of social interactions but not the quality. Network scientists can map your interactions with the six co-workers you see during 76 percent of your days, but they can’t capture your devotion to the childhood friends you see twice a year, let alone Dante’s love for Beatrice, whom he met twice.

Therefore, when making decisions about social relationships, it’s foolish to swap the amazing machine in your skull for the crude machine on your desk.

Data struggles with context. Human decisions are not discrete events. They are embedded in sequences and contexts. The human brain has evolved to account for this reality. People are really good at telling stories that weave together multiple causes and multiple contexts. Data analysis is pretty bad at narrative and emergent thinking, and it cannot match the explanatory suppleness of even a mediocre novel.

Data creates bigger haystacks. This is a point Nassim Taleb, the author of “Antifragile,” has made. As we acquire more data, we have the ability to find many, many more statistically significant correlations. Most of these correlations are spurious and deceive us when we’re trying to understand a situation. Falsity grows exponentially the more data we collect. The haystack gets bigger, but the needle we are looking for is still buried deep inside.

One of the features of the era of big data is the number of “significant” findings that don’t replicate the expansion, as Nate Silver would say, of noise to signal.

Big data has trouble with big problems. If you are trying to figure out which e-mail produces the most campaign contributions, you can do a randomized control experiment. But let’s say you are trying to stimulate an economy in a recession. You don’t have an alternate society to use as a control group. For example, we’ve had huge debates over the best economic stimulus, with mountains of data, and as far as I know not a single major player in this debate has been persuaded by data to switch sides.

Data favors memes over masterpieces. Data analysis can detect when large numbers of people take an instant liking to some cultural product. But many important (and profitable) products are hated initially because they are unfamiliar.

Data obscures values. I recently saw an academic book with the excellent title, “ ‘Raw Data’ Is an Oxymoron.” One of the points was that data is never raw; it’s always structured according to somebody’s predispositions and values. The end result looks disinterested, but, in reality, there are value choices all the way through, from construction to interpretation.

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Sep 24 2012

Purpose of evaluation

This is a pre-publication version of an entry in the International Encyclopedia of Education, 3rd Edition. Please note the correct citation in the text and refer to the final version in the print version of the IEE.

Mathison, S. (2010). The purpose of evaluation. In P. Peterson, B. McGaw & E. Baker (Eds.). The International Encyclopedia of Education, 3rd ed. Elsevier Publishers.

ABSTRACT
There are two primary purposes of evaluation in education: accountability and amelioration. Both purposes operate at multiple levels in education from individual learning to bounded, focused interventions to whole organizations, such as schools or colleges. Accountability is based primarily on summative evaluations, that is, evaluations of fully formed evaluands and are often used for making selection and resource allocation decisions. Amelioration is based primarily on formative evaluation, that is, evaluations of plans or developing evaluands and are used to facilitate planning and improvement. Socio-political forces influence the purpose of evaluation.

Purpose of evaluation

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Sep 18 2012

Evaluation is all around

Beginning a new semester I strive to find ways to illustrate that evaluative thinking is all around, and indeed may by the most ubiquitous form of thinking that we as humans do. In the words of The Troggs…

I feel it in my fingers
I feel it in my toes
[Evaluation] is all around me
And so the feeling grows

There are plenty of examples like Consumer Reports or Rotten Tomatoes or The Wine Spectator. But there is nothing like the many TV contest shows for entertaining examples of evaluation. This term my class watched the show Four Weddings and analyzed how the evaluation was done. It is quite a rich example that illustrates the logic of evaluation including such things as:

    > the complexity of establishing criteria, including the need for far more specificity than one might think
    > relative weighting of criteria
    > the slippery and amorphous nature of standards
    > how grading and ranking differ, but can be combined in a single evaluation
    > what the attributes of a good evaluator might be

It’s written on the wind
It’s everywhere I go, oh yes, it is
So if you really [evaluate]
Come on and let it show

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Jun 14 2012

AEA’s Values – Walking the Talk with Sandra Mathison

Published by under Evaluation theory

AEA’s Values – Walking the Talk with Sandra Mathison, NDE Editor

AEA’s Values Statement
The American Evaluation Association values excellence in evaluation practice, utilization of evaluation findings, and inclusion and diversity in the evaluation community.

i. We value high quality, ethically defensible, culturally responsive evaluation practices that lead to effective and humane organizations and ultimately to the enhancement of the public good.
ii. We value high quality, ethically defensible, culturally responsive evaluation practices that contribute to decision-making processes, program improvement, and policy formulation.
iii. We value a global and international evaluation community and understanding of evaluation practices.
iv. We value the continual development of evaluation professionals and the development of evaluators from under-represented groups.
v. We value inclusiveness and diversity, welcoming members at any point in their career, from any context, and representing a range of thought and approaches.
vi. We value efficient, effective, responsive, transparent, and socially responsible association operations.

******************************************************************************************************************************************************************

I am a Professor of Education at the University of British Columbia where I continue my lifelong engagement in learning and teaching about evaluation. I am also currently Editor-in-Chief of New Directions for Evaluation, have served on various AEA committees, and have been a member of the AEA Board of Directors.

As evaluation theory and practice have taken root and spread around the globe it is exciting to see AEA adopting a Values Statement that reflects the importance of our intellectual and moral obligations as an organization and a profession. As Editor-in-Chief of one of AEA’s journals, I see these values as critical signposts for fostering the involvement, at many levels, of diverse perspectives. These values are important in how I do my work, which includes assembling a team of associate editors and editorial board members that has a global reach and reflects the cultural diversity that AEA’s values encourage. These values are also important in shaping the content of the journal as I have worked to include different points of view about evaluation; the perspectives of experienced and novice evaluators; and perspectives of evaluators from all parts of the world.

AEA’s Values Statement is also an important anchor for me individually, in doing evaluation as well as teaching about evaluation. From the beginning of my career until the present I have been guided by AEA’s values. I strive to foster inclusion through participatory approaches, practice in ethically defensible ways through transparency and thoughtfulness, and to do evaluation in the service of both clients and the greater good.

I contribute to AEA’s value of continual development of evaluators through my teaching and mentoring of graduate students as they learn the craft of evaluation. I am aware at all times of not simply transmitting knowledge and skills to the next generations of evaluators, but also the importance of imbuing novice evaluators with the foundational values on which AEA stands. As a professional organization, AEA provides useful guidance and reminders that evaluation is much more than a technical practice; it is also a moral and values-laden one. In my teaching I am eager for students to see themselves as ethically engaged, open to and engaged with many forms of diversity, and to see their future work as evaluators as meaningful and useful in building a better world.

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Apr 21 2011

rights-based evaluation

Published by under Evaluation theory

Rights-based evaluation is not a new idea and has been a prominent way of thinking in the international development world for at least a decade. A broad framework for human rights is established by a number of declarations including: the UN’s 1948 Universal Declaration of Human Rights and six core human rights treaties: the International Covenant on Civil and Political Rights; the International Covenant on Economic, Social and Cultural Rights; the Convention on the Rights of the Child; the Convention against Torture and other Cruel, Inhuman or Degrading Treatment or Punishment; the International Convention on the Elimination of All Forms of Racial Discrimination; and the Convention on the Elimination of All Forms of Discrimination against Women. (Each of these declarations can be found at the UNICEF website.)

In evaluation we consider needs assessment to be a key tool, and this can be relatively easily understood as a rights assessment, especially when we understand that rights are what is essential to live as human beings, the basic standards without which people cannot survive and develop with dignity. Human rights are thus inherent to the person, inalienable and universal. People may still need more than they have a right to, but this would seem a fundamental baseline.

A useful, short guide to the idea of a rights-based approach for program development, as well as monitoring and evaluation is Applying a Rights-based Approach: An Inspirational Guide for Civil Society.

Rights-based evaluation requires evaluators to be committed to general principles as key sources of criteria in evaluating; to taking a socio-cultural perspective and not just an inside a program box view; and requires evaluators to give as much time to the question of whether or not the right job is being done and not focusing only on whether the job is being done right.

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Feb 28 2011

getting to formative

Just as it makes little sense to talk about the validity of a test, it makes little sense to talk about a formative test. Although there is a good emphasis on formative assessment of student learning, there is an unfortunate confusion about what the formative means. Too often the instrument is identified as formative, when in fact it is how the information from the instrument is used that makes the evaluation formative. The same test and the results of that test can be used either formatively or summatively. Just as the test is not valid (it is the inferences that are made that have or lack validity), neither is the test itself formative or summative. Popham has a nice little discussion of this in his Ed Week piece Formative Assessment–A Process, Not a Test.

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Jun 20 2010

Systems concepts & evaluation

A nice resource (Using Systems Concepts in Evaluation) to help understand how systems concepts and thinking are relevant for evaluation. Especially nice is the more nuanced discussion of logic models and how they help and hinder quality evaluation practice.

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Apr 07 2009

Serving the Public Interest through Educational Evaluation

This is a pre-publication version of a chapter that analyzes the nature of educational evaluation in a global, neo-liberalist world. The chapter includes some advice to evaluators on how to take back evaluation to serve democratic values, that is, the inclusion of all stakeholders (especially those most often shut out) and open deliberation about what it means for education and schooling to be good or bad.

This chapter will appear in Ryan & Cousins’ edited International Handbook of Educational Evaluation to be published by Sage.

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