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Kai Cortina, Professor of Psychology, will present on best practices for reporting results of Structural Equation Models. Structural Equation Modeling has evolved into a standard statistical procedure with applications way beyond its initial focus (path analysis with latent variables). A long and somewhat confusing list of model fit statistics were developed over the last 3 decades. In his talk, Kai will briefly present the rationale behind most of them and provide some guidance for a proper use with focus on best practices for submitting manuscripts to APA journals. The group will discuss: (a) What is better: strong statistics with strong assumptions (e.g., chi_square) or soft statistics with few assumptions (e.g., AIC, BIC)? (b) How useful are fit comparisons across models that are not hierarchically nested?
Building: | East Hall |
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Event Type: | Presentation |
Tags: | Psychology, Talk |
Source: | Happening @ Michigan from Psychology Methods Hour, Department of Psychology |