Dr Chris L S Coryn Kristin A Hobson Fall 2013 Agenda Course overview Introductions Course pretest examination Discussion and questions Course Material Website http wwwwmicheduevalphdcourseseval6970experimentalandquasiexperimentaldesignsforappliedresearchandeva ID: 778828
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EVAL 6970:Experimental and Quasi-Experimental Designs
Dr. Chris L. S. CorynKristin A. HobsonFall 2013
Slide2AgendaCourse overviewIntroductionsCourse pretest examinationDiscussion and questions
Slide3Course MaterialWebsitehttp://www.wmich.edu/evalphd/courses/eval-6970-experimental-and-quasi-experimental-designs-for-applied-research-and-evaluation
/Lecture notesHomework assignmentseLearningSubmit homework assignmentsCheck grades
Slide4Learning ObjectivesDemonstrate 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 strategiesDemonstrate a clear understanding of the differences between causal description and causal explanationDemonstrate a clear understanding of the various types of validity and their relation to design, measurement, and analysis
Slide5Learning ObjectivesDemonstrate 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 literatureDesign high-quality, cause-probing studies under both ideal and less than ideal conditions by using elements of designMake 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
Slide6Software RequirementsPower and Precision 2.0$95 for a one year lease at the student rateA
ccess to a data analysis package such as SAS or SPSS for applied statistical problems
Slide7Course ComponentsAttendance and class participation (10%)Homework
(40%)Midterm examination (25%)Final examination (25%)
Slide8Grading
100% – 95%=
A
94% – 90%
=
BA
89% – 85%
=
B
84% – 80%
=
CB
79% – 75%
=
C
< 75%
=
F
Slide9Required TextbookShadish, W. R., Cook, T. D., & Campbell, D. T. (2002).
Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.