is an approach to factor analysis that considers the total variance in the data.
A) Common factor analysis
B) Unweighted least squares
C) Omega method
D) Principal components analysis
Correct Answer:
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Q1: The percentage of the total variance attributed
Q19: When using eigenvalues to determine the number
Q22: Factor loadings represent the correlations between sets
Q27: m represents in the factor model, Xi
Q29: Factor analysis is a(n) in that the
Q30: When selecting surrogate variables from variables with
Q33: is the last step in factor analysis.
A)
Q36: The factor matrix is also called the
Q48: _ is an approach to factor analysis
Q57: As a rough guideline,there should be at
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