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GAO-12-208G, Designing Evaluations: 2012 Revision

GAO-12-208G, Designing Evaluations: 2012 Revision

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Criteria for a Good<br />

Design<br />

Chapter 3: The Process of Selecting an<br />

Evaluation Design<br />

adequately addressed. Evaluators must be explicit about the limitations of<br />

the study. They should ask, How conclusive is the study likely to be, given<br />

the design? How detailed are the data collection and data analysis plans?<br />

What trade-offs were made in developing these plans?<br />

<strong>GAO</strong> and other organizations have developed guidelines or standards to<br />

help ensure the quality, credibility, and usefulness of evaluations. (See<br />

appendix I and the guidance in <strong>GAO</strong>’s design matrix, figure 2, as an<br />

example.) Some standards pertain specifically to the evaluator’s<br />

organization (for example, whether a government auditor is independent),<br />

the planning process (for example, whether stakeholders were<br />

consulted), or reporting (for example, documenting assumptions and<br />

procedures). While the underlying principles substantially overlap, the<br />

evaluator will need to determine the relevance of each guideline to the<br />

evaluator’s organizational affiliation and their specific evaluation’s scope<br />

and purpose.<br />

Strong evaluations employ methods of analysis that are appropriate to the<br />

question; support the answer with sufficient and appropriate evidence;<br />

document the assumptions, procedures, and modes of analysis; and rule<br />

out competing explanations. Strong studies present questions clearly,<br />

address them appropriately, and draw inferences commensurate with the<br />

power of the design and the availability, validity, and reliability of the data.<br />

Thus, a good evaluation design should<br />

• be appropriate for the evaluation questions and context. The design<br />

should address all key questions, clearly state any limitations in<br />

scope, and be appropriate to the nature and significance of the<br />

program or issue. For example, evaluations should not attempt to<br />

measure outcomes before a program has been in place long enough<br />

to be able to produce them.<br />

• adequately address the evaluation question. The strength of the<br />

design should match the precision, completeness, and<br />

conclusiveness of the information needed to answer the questions<br />

and meet the client’s needs. Criteria and measures should be<br />

narrowly tailored, and comparisons should be selected to support<br />

valid conclusions and rule out alternative explanations.<br />

• fit available time and resources. Time and cost are constraints that<br />

shape the scope of the evaluation questions and the range of<br />

Page 28 <strong>GAO</strong>-<strong>12</strong>-<strong>208G</strong>

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