Advantages and disadvantages of evaluation checklists and how to use them to improve evaluation practice. Presented at USF Center for Research, Evaluation, Assessment, and Measurement.
7. Criteria to Evaluate Checklists Applicability to full range of intended uses Clarity Comprehensiveness Concreteness Ease of use Fairness Parsimony Pertinence to the content area 7 Stufflebeam, D. L. (2000) Guidelines for developing evaluation checklists: The checklist development checklist. Available at http://www.wmich.edu/evalctr/checklists/guidelines_cdc.pdf
8. Checklist Advantages Consolidate vast knowledge in a parsimonious manner Improve task performance Reduce influence of halo and Rorschach effects Reduce resource use Improve memory recall Set out minimum necessary steps in a process 8 Scriven, M. (2005). Checklists. In S. Mathison (Ed.), Encyclopedia of evaluation (pp. 53-59). Thousand Oaks, CA: Sage.
9. Checklist Disadvantages Evaluation myopia Inappropriate use Fatigue resulting from overuse Unnecessary complexity decreases reliability Burdensome process delays completing evaluation 9 Martz, W. (in press). Validating an evaluation checklist using a mixed method design. Evaluation and Program Planning (2009). doi: 10.1016/j.evalprogplan.2009.10.005
13. Criteria to Evaluate the OEC Applicability to full range of intended uses Clarity Comprehensiveness Concreteness Ease of use Fairness Parsimony Pertinence to the content area 13
14. OEC Validation Process Phase 1: Expert panel review Critical feedback survey Written comments made on checklist Phase 2: Field test Single-case study Semi-structured interview 14
15. Expert Panel Overview Study participants Subject matter experts (organizational and evaluation theorists) Targeted users (professional evaluators, organizational consultants, managers) Review OEC for providing critical feedback Identify strengths and weaknesses Complete the critical feedback survey Write comments directly on the checklist 15
16. Expert Panel Data Analyses Critical feedback survey Descriptive statistics Parametric and nonparametric analysis of variance Written comments on checklist Hermeneutic interpretation Thematic analysis to cluster and impose meaning Triangulation across participants to corroborate or falsify the imposed categories 16
20. Observations from Field Test Structured format minimized “scope-creep” Identified several areas to clarify in OEC Reinforced need for multiple measures,transparency in standards Minimal disruption to the organization 19
21. Validity Study Assessment Strengths Relatively quick validation process Based on relevant evaluative criteria Features a real-world application Weaknesses Single-case field study Selection of the case study Selection of the expert panel members 20 Martz, W. (in press). Validating an evaluation checklist using a mixed method design. Evaluation and Program Planning (2009). doi: 10.1016/j.evalprogplan.2009.10.005
22. Lessons Learned Checklist development should address unique attributes of the evaluand Sampling frame is critical Checklist validation should be grounded in theory, practice, and use Mixed method approach provides increased confidence in validation conclusions All checklists are a “work-in-process” 21
23. Additional Checklist Resources Martz, W. (in press). Validating an evaluation checklist using a mixed method design. Evaluation and Program Planning (2009). Scriven, M. (2007). The logic and methodology of checklists. Available at http://www.wmich.edu/evalctr/checklists/papers/logic&methodology_dec07.pdf. Stufflebeam, D. L. (2000) Guidelines for developing evaluation checklists: The checklist development checklist. Available at http://www.wmich.edu/evalctr/checklists/guidelines_cdc.pdf. Stufflebeam, D. L. (2001). Evaluation checklists: Practical tools for guiding and judging evaluations. American Journal of Evaluation, 22, 71–79. 22 http://www.wmich.edu/evalctr/checklists
Mnemonic deviceInherently systematicProvides guidance for collection of evidenceHighly relevant for evaluative purposesNOT to be thought of as measurement device
No statistically significant difference found among groupsInter-item correlation ranged from .79 to .96