Introduction to Path Analysis

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Some of the ways to improve a path analysis For a given model, consider these 4 things…. TQ ST EP 1. Antecedents to the current model • Variables that “come before” or “cause” the variables in the model 2. Effects of the current model • Variables that “come after” or “are caused by” the variables in the model 3. Intermediate causes • Variables that “come in between” the current causes and effects. 4. Non-linear variations of the model • Curvilinear & interaction effects of & among the variables
Mediation Analyses The basic mediation analysis is a 3-variable path analysis. A correlation shows that “var” is related to the “crit” . But we wonder if we have the “whole story” – is it really that variable that causes Crit ??? Var Med So, we run a regression analysis w/ Var & Med as preds of Crit. Then we compare two estimates of the Var – Crit relationship • r Crit,Var from the bivarate model & • β Var from the multivariate model If β Var = .00 complete mediation If .00 < βVar < r Crit,Var partial mediation If βVar = r Crit,Var no mediation The Sobol test is used to evaluate the r Crit,Var - β Var difference Crit
Page 1 and 2: Introduction to Path Analysis • W
Page 3 and 4: Where do the path coefficients come
Page 5 and 6: Alternative ways to “think about
Page 7 and 8: …to distinguish “direct” and
Page 9 and 10: … to investigate “mediation eff
Page 11 and 12: Some caveats about the “when” o
Page 13 and 14: Path Analysis - allows us to look a
Page 15 and 16: The things to remember are that: 1.
Page 17: About non-recursive (bi-directional
Page 21 and 22: Testing Causal Models Theory Trimmi
Page 23 and 24: Testing Over-identified models Test

Introduction to Path Analysis

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