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Created:
Jul 1, 2020 02:51 PM
| Last Modified: Oct 24, 2023 01:38 PM
semJournal_14May2020.zip
See how to:
Understand the basics of SEM
Confirmatory Factor Analysis (CFA) – a multivariate statistical procedure to test how well measured variables represent the number of constructs and confirm or reject a theory
Path Analysis - an extension of the regression model built from the correlation matrix that compares two or more casual models and uses a diagram flow chart to model path and causation
Structural Equation Modeling (SEM) – Multivariate statistical analysis technique that combines factor analysis with multiple regression analysis to analyze structural relationship between measured variables and latent constructs, estimating multiple and interrelated dependence in a single analysis
Select models and handle measurement areas using an industrial case study
Navigate the 3-panel SEM window (From List, To List, Diagram)
Use SEM to see if there is any built-in error in your measurements
Understand how to examine and compare restricted and independent model results
Build multiple models iteratively and interpret requirement Rule Status before running models
Locate and interpret model statistics and Report Warnings, and then modify or rerun models if necessary
Use Local Data filter to filter by variable
Save factor scores and apply latent variables to observed variables
Use SEM to test a hypothesis using a sports case study