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1 year ago in Conceptualization By Stephen Jordan
What are the core assumptions of Covariance-Based SEM (CB-SEM) that make AMOS an appropriate tool, and how do you test for them?
What are the fundamental assumptions of Covariance-Based SEM (CB-SEM) that make AMOS a suitable tool, and how can these assumptions be tested?
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By Vladimir Answered 1 year ago
CB-SEM assumes multivariate normality, interval-scale data, and a sufficiently large sample. Key tests include assessing Mardia’s coefficient for normality, ensuring a sample-to-parameter ratio (e.g., 10:1), and verifying data is continuous. AMOS is appropriate as it is designed to estimate and test models under these specific assumptions. Â
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