EVAL 6970 Experimental and Quasi Experimental Designs Dr
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EVAL 6970: Experimental and Quasi. Experimental Designs Dr. Chris L. S. Coryn Kristin A. Hobson Fall 2013
Agenda • Course overview • Introductions • Course pretest examination – Discussion and questions
Course Material • Website – http: //www. wmich. edu/evalphd/courses /eval-6970 -experimental-and-quasiexperimental-designs-for-appliedresearch-and-evaluation/ – Lecture notes – Homework assignments • e. Learning – Submit homework assignments – Check grades
Learning Objectives 1. 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 2. Demonstrate a clear understanding of theoretical, philosophical, and ideological foundations of contemporary research paradigms and their inquiry strategies 3. Demonstrate a clear understanding of the differences between causal description and causal explanation 4. Demonstrate a clear understanding of the various types of validity and their relation to design, measurement, and analysis
Learning Objectives 5. Demonstrate a clear understanding of threats to the validity of inferences and conclusions as related to internal and external validity 6. Identify plausible threats to the validity of inferences and conclusions in studies found in the peer-reviewed, serial literature 7. Design high-quality, cause-probing studies under both ideal and less than ideal conditions by using elements of design 8. 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
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
Course Components • Attendance and class participation (10%) • Homework (40%) • Midterm examination (25%) • Final examination (25%)
Grading 100% – 95% 94% – 90% 89% – 85% 84% – 80% 79% – 75% < 75% = = = A BA B CB C F
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.
- Quasi-experimental research designs
- Quasi-experimental research designs
- Quasi experimental design example
- It is called the "simplest form of research design".
- Quasi experimental
- Ethical issues in experimental design
- Quasi experimental
- Define causal comparative research
- Experimental research design types
- Quasi experimental design notation