Advanced Statistics for Researchers:

PROMISE AGEP, the Graduate School and the Office of Post-Doctoral Affairs is proud to introduce a new series of seminars presented by Dr. Christopher Rakes, Assistant Professor, Department of Education.

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Click on either of the following links and you should be directed to the website with the live webcast of the seminar.

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Systematic Review and Meta-Analysis is a set of methods for combining results from multiple studies to examine an overall effect. These techniques allow researchers to “step back” from individual studies and see a clearer picture of the field. This series will include methods for conducting systematic literature reviews and computing effect sizes.

Structural Equation Modeling is a robust analytic framework that envelopes and improves upon many other familiar analytic methods (e.g., ANOVA, regression). Structural equation modeling, allows researchers to model both measured variables (such as items on a questionnaire) and the unobserved (latent) factors associated with those variables. This series will include methods for using structural equation modeling to conduct confirmatory factor analysis, testing causal structures, and comparing group differences in latent means.

Session 2, 10/8/14

Meta-analysis and Systematic Review:

Avoiding bias in literature review and calculating effect sizes

This session will focus on methods for obtaining a representative literature sample, developing a coding schema, measuring inter-rater reliability, and computing, analyzing, and interpreting effect sizes.