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
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.
The post Experimental Designs, Quasi Experiments, And Non-Experimental Designs first appeared on COMPLIANT PAPERS.
