1 Psychology Seminar Psych 406 Structural Equation Modeling Jeffrey D. Leitzel, Ph.D. Topic 4 Confirmatory Factor Analysis (CFA) Outline/Overview Readings EFA vs. CFA Isolating True Score variability Specialized analyses=specialized software Estimation techniques Running CFA in Stata Postestimation – goodness of fit, residuals,
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Manual Reference Glossary and Index Stata’s PDF documentation features seamless navigation within and across entries for every command and function, thousands of worked examples, methods and formulas, references, subject-specific glossaries, vignettes, and more. The Basics of Structural Equation Modeling Structural equation modeling (SEM) • is a comprehensive statistical approach to testing hypotheses about relations among observed and latent variables (Hoyle, 1995). • is a methodology for representing, estimating, and testing a theoretical network of (mostly) linear relations between variables (Rigdon, 1998). Logistic Discriminant Analysis and Structural Equation ... Stata 15 Structural Equation Modeling Reference Manual. College Station, TX: Stata Press. five alternative factor 12Finney SJ, DiStefano C (2006). Nonnormal and categorical data in structural equation models. In GR Hancock & RO Mueller (Eds.), A second course in structural equation modeling 21 (pp. 269-314). Greenwich, CT: Information Age. [XT] Longitudinal Data/Panel Data Cross-referencing the documentation When reading this manual, you will find references to other Stata manuals. For example, [U] 26 Overview of Stata estimation commands[R] regress[D] reshapeThe first example is a reference to chapter 26, …
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