Advanced Statistics for Researchers Part IV

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

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 4: 02/11/54
Structural Equation Modeling
Testing the Validity of a Causal Structure

Live Webcast