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About Chapter1 IntroductiontoSEMinAMOS
This document provides an introduction to structural equation modeling (SEM). It discusses how SEM can be used to analyze relationships between multiple variables simultaneously. Specifically, it notes that SEM allows researchers to: 1) Conduct confirmatory factor analysis to measure latent constructs through multiple observed variables or items. 2) Analyze multiple regression models simultaneously. 3) Estimate correlations and covariances between variables in a model. 4) Model interrelationships between variables, including mediating and moderating effects. The document then provides examples of how simple and multiple regression models can be represented and analyzed using SEM software. It emphasizes that SEM is particularly useful for social science research where most variables of interest are latent constructs that must be
Detailed Information
| Author: | ['Islam Hamadeh'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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