Advanced Statistics for Researchers Part V (4/11)

Latent Mean Difference Models

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.

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 5

Structural Equation Modeling

Latent Mean Difference Models

This session will focus on basic concepts of testing latent mean structures. Topics will include testing multi-group invariance with means and covariance structures, model identification, partial measurement invariance, and practical and statistical criteria used in determining evidence of invariance.

Please let us know you’re coming:

Friday, 4/11/14, 1:00 – 2:00 pm, Commons 331

Lunch will be served


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