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The Four Models You Meet in Structural Equation Modeling
By Manolo Romero Escobar On a previous post (Why do I need to have knowledge of multiple regression to understand SEM?) we showed how a multiple regression model could be conceptualized using...
View ArticleThree Myths and Truths About Model Fit in Confirmatory Factor Analysis
by Christos Giannoulis, PhD We mentioned before that we use Confirmatory Factor Analysis to evaluate whether the relationships among the variables are adequately represented by the hypothesized factor...
View ArticleConfirmatory Factor Analysis: How To Measure Something We Cannot Observe or...
by Christos Giannoulis, PhD Many times in science we are intrigued to measure an underlying characteristic that cannot be observed or measured directly. This measure is hypothesized to exist to explain...
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October 2019 Member Training: Reporting Structural Equation Modeling Results
The last, and sometimes hardest, step for running any statistical model is writing up results. As with most other steps, this one is a bit more complicated for structural equation models than it is...
View ArticleFirst Steps in Structural Equation Modeling: Confirmatory Factor Analysis
Confirmatory factor analysis (CFA) is the fundamental first step in running most types of SEM models. You want to do this first to verify the measurement quality of any and all latent constructs you’re...
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One of the Many Advantages to Running Confirmatory Factor Analysis with a...
Based on questions I’ve been asked by clients, most analysts prefer using the factor analysis procedures in their general statistical software to run a confirmatory factor analysis. While this can work...
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The Four Models You Meet in Structural Equation Modeling
A multiple regression model could be conceptualized using Structural Equation Model path diagrams. That’s the simplest SEM you can create, but its real power lies in expanding on that regression model....
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