Advanced Statistics for Researchers: Regression, Factor Analysis, and Structural Equation Modeling

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This lecture explores advanced statistical methods beyond basic regression, including latent variables and causal inference. It covers regression foundations with extensions like diagnostics, interaction terms, and logistic regression. Essential factor analysis concepts (EFA vs CFA, rotation, reliability) are introduced, followed by structural equation modeling with path diagrams, fit indices, and mediation/moderation analysis.