Further Reading

General Resources | Research Methods and Designs | Missing Data and Attrition | Reliability and Validity | Evaluation Reporting

General Resources

• Chronbach, L. J. (1982). Designing evaluations of educational and social programs. San Francisco, CA: Jossey-Bass.
• Clancy, C. M., & Eisenberg, J. M. (1998). Outcomes research: Measuring the end results of health care. Science, 282, 245-6.
• Feuerstein, M. T. (1986). Partners in evaluation: Evaluating development and community programs with participants. London: MacMillan, in association with Teaching Aids at Low Cost.
• Fitzpatrick, J. L., Sanders, J. R., & Worthen, B. R. (2004). Program evaluation: Alternative approaches and practical guidelines. New York, NY: Pearson Education.
• Grembowski, D. (2001). The practice of health program evaluation. Newbury Park, CA: Sage.
• Guba, E., & Lincoln, Y. S. (1989). Fourth generation evaluation. Beverly Hills, CA: Sage.
• Kerlinger, F. N. (1986). Foundations of behavioral research (3rd ed.). New York, NY: Holt, Rinehart, and Winston.
• Morbidity and Mortality Weekly Report. (1999). Framework for program evaluation in public health. MMWR 48(RR11), 1-40. Available at http://www.cdc.gov/mmwr/preview/mmwrhtml/rr4811a1.htm 
• Patton, M. Q. (1997). Utilization-focused evaluation (3rd ed.). Thousand Oaks, CA: Sage.
• Rogers, P. J., Hacsi, T. A., Petrosino, A., & Huebner, T. A. (Eds.). (2000). Program theory in evaluation: challenges and opportunities: New directions in evaluation, Number 87. San Francisco, CA: Jossey-Bass.
• Rosnow, R. L., & Rosenthal, R. (2008). Beginning behavioral research. A conceptual primer (6th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
• Rossi, P., Lipsey, M., & Freeman, H. (2004). Evaluation: A systematic approach (7th ed.). Thousand Oaks, CA: Sage.
• Shadish, W. (1998). Some evaluation questions. Practical assessment, research & evaluation, 6(3). Available at http://PAREonline.net/getvn.asp?v=6&n=3  .
• Shadish, W. R., Cook, T. D., & Leviton, L. C. (1991). Foundations of program evaluation. Thousand Oaks, CA: Sage.
• W. K. Kellogg Foundation. (1998). Evaluation handbook. Battle Creek, MI: Author. Available at http://www.wkkf.org/knowledge-center/resources/2010/W-K-Kellogg-Foundation-Evaluation-Handbook.aspx
• Worthen, B. R., Sanders, J. R., & Fitzpatrick, J. L. (1997). Program evaluation. New York, NY: Longman.

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Research Methods and Designs

• Campbell, D. T., & Stanley, J. C. (1966). Experimental and quasi-experimental designs for research. Chicago, IL: Houghton-Mifflin.
• Cook, T., & Campbell, D. (1979). Quasi-experimentation: Design and analysis issues for field settings. Chicago, IL: Houghton-Mifflin.
• Cozby, P. C. (2001). Methods in behavioral research (10th ed.). New York, NY: McGraw Hill.
• Creswell, J. W. (2012). Educational research: Planning, conducting and evaluating quantitative and qualitative research (4th ed). Boston, MA: Pearson Education.
• Dunn, D. (2009). Research methods in social psychology. Malden, MA: Wiley-Blackwell.
• Howell, D. C. (2002). Statistical methods for psychology (5th ed.). Pacific Grove, CA: Wadsworth Publishing.
• Kirk, R. E. (1995). Experimental design: Procedures for the behavioral sciences. Pacific Grove, CA: Brooks/Cole.
• Leedy, P. D., & Ormrod, J. E. (2010). Practical research: Planning and design (9th ed). Boston, MA: Pearson Education.
• Monette, D. R., Sullivan T. J., & DeJong C. R. (2011). Applied social research: A tool for the human services (8th ed.). Belmont, CA: Brooks/Cole.
• Patten, M. L. (2012). Understanding research methods (8th ed.). Glendale, CA: Pyrczak Publishing.
• Shadish, W. R., Cook, T. D., & Campbell, D. T. (2001). Experimental and quasi-experimental designs for generalized causal Inference (2nd ed.). Boston, MA: Houghton Mifflin.
• U.S. Department of Education. (2011). What Works Clearinghouse procedures and standards handbook (Version 2.1). Available at http://ies.ed.gov/ncee/wwc/documentsum.aspx?sid=19 .

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Missing Data and Attrition

• Armijo-Olivo, S., Warren, S., & Magee, D. (2009). Intention to treat analysis, compliance, drop-outs, and how to deal with missing data in clinical research: A review. Physical Therapy Reviews, 14(1), 36-49.
• Barry, A. E. (2005). How attrition impacts the internal and external validity of longitudinal research. Journal of School Health, 75(7), 267-270.
• Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549-576.
• Harris, P. M. (1998). Attrition revisited. American Journal of Evaluation, 19(3), 293-305.
• Mason, M. J. (1999). A review of procedural and statistical methods for handling attrition and missing data in clinical research. Measurement and Evaluation Counseling and Development, 32(2), 111-118.

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Reliability and Validity

• Bannigan, K., & Watson, R. (2009). Reliability and validity in a nutshell. Journal of Clinical Nursing, 18(3), 3237-3243.
• Frank-Stromborg, M., & Olsen, S. J. (2004). Instruments for clinical health care research (3rd ed.). Boston, MA: Jones & Barlett.
• McDowell, I., & Newell, C. (1996). The quality of a measurement: Validity and reliability. In Measuring health: A guide to rating scales and questionnaires (2nd ed.) (pp. 29-43). New York, NY: Oxford University Press.
• Rush, A. J., First, M. B., & Blacker, D. (2008). Handbook of psychiatric measures (2nd ed.). Washington, DC: American Psychiatric Association.
• Williams, S. T. (2008). Mental health screening and assessment tools for children: Literature review. A report prepared for the Northern California Training Academy and funded by the California Department of Social Services. Available at http://humanservices.ucdavis.edu/Academy/pdf/FINAL2MentalHealthLitReview.pdf

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Evaluation Reporting

• Torres, R., Preskill, H. S., & Piontek, M. E. (1996). Evaluation strategies for communicating and reporting. Thousand Oaks, CA: Sage.
• Tufte, E. R. (1983). The visual display of quantitative information. Cheshire, CT: Graphics Press.
• Tufte, E. R. (2006). Beautiful evidence. Cheshire, CT: Graphics Press.

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