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Structural Models (EFA, CFA, SEM, ...) • parameters

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The second table is the Factor Score Covariance Matrix: Factor Score Covariance Matrix Factor Score Covariance Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 5 rows Factor 1 2 1 1.

  • The test provides probability that the correlation matrix has significant correlations among at least some of the variables in a dataset, a prerequisite for factor analysis to work.

  • Factor rotation comes after the factors are extracted, with the goal of achieving simple structure in order to improve interpretability.

Exploratory factor analysis

Equamax is a hybrid of Varimax and Quartimax, but because of this may behave erratically and according to Pett et al.

  • Additionally, Anderson-Rubin scores are biased.

  • This can be confirmed by the Scree Plot which plots the eigenvalue total variance explained by the component number.




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