Evaluation Plan Guidance Page 42
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68EVALUATION PLAN GUIDANCE
SOCIAL INNOVATION FUND
National Research Council (2004).
Implementing randomized field trials in education: Report of a workshop.
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& M. Hilton (Eds.). Washington, DC: National Academies Press.
Scriven, M. (2011).
Evaluating evaluations: A meta-evaluation checklist
(Version 8.16.11).
University of Reading Statistical Services Centre. (2000).
Guidelines for planning effective surveys.
Reading,
United Kingdom.
Measure Creation, Validity, and Reliability
Brock, D. J. (2011).
A process for determining the acceptability of measurement tools: How to decide?
aaa3f081c6c3
Cui, W.W. (2003). Reducing error in mail surveys.
Practical Assessment, Research & Evaluation, 8
(18).
Kiernan, N. E. (2001).
Designing a survey to increase response and reliability: Tipsheet
#53. University Park, PA:
Penn State Cooperative Extension.
University of Leeds. (2011).
Guide to the design of questionnaires.
Human Subjects Protection/IRB
Department of Health and Human Services. (2009).
Code of Federal Regulations 45 CFR 46 Protection of Human
Subjects.
Washington, DC: Office of Human Research Protections, Office of the Assistant Secretary for
Health.
National Institutes of Health. (2011).
Human subjects protection and inclusion of women, minorities, and children:
Guidelines for review of NIH grant applications.
Washington, DC: National Institutes of Health.
White, E. (2007).
Human subjects protection resource book.
Washington, DC: Office of Biological and
Environmental Research, U.S. Department of Energy.
resources/files/HumSubjProtect-ResourceBook.pdf
Maintaining Sample Datasets and Handling Missing Data
Allison, P. D. (2000).
Multiple imputation for missing data: A cautionary tale.
Sociological Methods and Research,
28, 301-309.
Allison, P. D. (2003).
Missing data techniques for structural equation models.
Journal of Abnormal Psychology,
112, 545-557.
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