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Structural Equation Modeling is a multivariate technique. It is based on formulating a set of linear relations between variables, some of which may be latent, and estimating the whole system, typically by analyzing the covariance matrix of the observed variables.

1 vote
0 answers
397 views

Path Analysis - Can my model include covariance between residuals of endogenous variables?

I am conducting a path analysis and want to include two mediating variables (Variables 3 & 4) which I believe will be correlated with one another. I don't want to specify the direction of this relati …
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  • 33
0 votes
1 answer
233 views

Help with Interpreting results from 2 models: Variance explained vs Indirect Effects?

I am comparing two models using Path Analysis (pictured). Model A explained 49% of the variance in my DV. Model B (which is the same as Model A + an additional mediator) explained 48% of the variance …
LSSS's user avatar
  • 33
1 vote
1 answer
2k views

How to control for demographic variables in Path Analysis?

I am running a series of path analyses using AMOS and could desperately use some help around how to control for confounding demographic variables; Q1. I have read that while some demographic variable …
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