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PLEASE READ THE ASSIGNMENT!!!!!  Validity issues of causal claims are always at

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PLEASE READ THE ASSIGNMENT!!!!! 
Validity issues of causal claims are always at the forefront of evaluation design. It is critical for the evaluator to understand issues of internal, external, measurement, and statistical validity. Though the classical experiment remains the standard for evaluating statistical and causal rigor, many evaluations continue to use quasi experiments and non-experimental designs.
For this Discussion, review this week’s Learning Resources and pick two (I added the two below) of the following scenarios of causal claim:
Field Experiment: Minimum wage legislation will lead to higher unemployment
Cross Sectional Study: Capital punishment deters crime
ASSIGNMENT:
Post an evaluation of the most important validity issues of each causal claim chosen. Explain the variety of validity issues possible in each scenario and provide a rationale for what qualifies as “most important” to you. Your evaluation should also include identifying illustrative and supportive examples related to the scenarios, as well as relevant and credible references from your Learning Resources and Walden Library.
Resources
Langbein, L. (2012). Public program evaluation: A statistical guide (2nd ed.). Armonk, NY: ME Sharpe.
Chapter 2, “Defensible Program Evaluations: Four Types of Validity” (pp. 26–50)
Chapter 3, “Internal Validity: The Logic of Internal Validity” (pp. 51–72)
McDavid, J. C., Huse, I., & Hawthorn, L. R. L. (2019). Program evaluation and performance measurement: An introduction to practice (3rd ed.). Thousand Oaks, CA: Sage.
Chapter 3, “Research Designs for Program Evaluations” (pp. 97-155)
United States Government Accountability Office (USGAO). (2012). Designs for assessing program implementation and effectiveness. In Designing evaluations: 2012 revision (pp. 31–49). Retrieved from http://www.gao.gov/assets/590/588146.pdf
Optional Resources
Cook, T. D., Scriven, M., Coryn, C. L. S., & Evergreen, S. D. H. (2009). Contemporary thinking about causation in evaluation: A dialogue with Tom Cook and Michael Scriven. American Journal of Evaluation, 31(1), 105–117.

 

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