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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.  

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