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EVAL 6970: Experimental and Quasi-Experimental Designs

EVAL 6970: Experimental and Quasi-Experimental Designs. Dr. Chris L. S. Coryn Dr. Anne Cullen Spring 2012. Agenda. Course overview Introductions Course pretest examination Discussion and questions. Course Website.

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EVAL 6970: Experimental and Quasi-Experimental Designs

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  1. EVAL 6970:Experimental and Quasi-Experimental Designs Dr. Chris L. S. Coryn Dr. Anne Cullen Spring 2012

  2. Agenda • Course overview • Introductions • Course pretest examination • Discussion and questions

  3. Course Website http://www.wmich.edu/evalphd/courses/eval-6970-experimental-and-quasi-experimental-designs-for-applied-research-and-evaluation/

  4. Learning Objectives • Demonstrate a clear understanding of the vocabulary of research design and related vocabularies and how to apply those concepts to the construction and criticism of designs • Demonstrate a clear understanding of the theoretical, philosophical, and ideological foundations of contemporary research paradigms and their inquiry strategies • Demonstrate a clear understanding of the differences between causal description and causal explanation • Demonstrate a clear understanding of the various types of validity and their relation to design, measurement, and analysis

  5. Learning Objectives • Demonstrate a clear understanding of threats to the validity of inferences and conclusions as related to internal and external validity • Identify plausible threats to the validity of inferences and conclusions in studies found in the peer-reviewed, serial literature • Design high-quality, cause-probing studies under both ideal and less than ideal conditions by using elements of design • Make intelligent, informed decisions when designing research and evaluation studies that logically couple research questions to elements of design under consideration of their costs and benefits

  6. Software Requirements • Power and Precision 2.0 • $95 for a one year lease at the student rate • Access to a data analysis package such as SAS or SPSS for applied statistical problems

  7. Course Components Attendance and class participation(10%) Homework(40%) Midterm examination(25%) Final examination(25%)

  8. Grading

  9. Required Textbook Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.

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