The first factor accounts for more of the variation in the data than the second factor.
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Q18: A factor is a variable or construct
Q19: In discriminant analysis, predictors with a large
Q20: The group mean, in a discriminant analysis,
Q21: A nonhierarchical clustering program is one in
Q22: Common factor analysis focuses on shared variance,
Q24: An attractive feature of principal components analysis
Q25: An attractive feature of varimax rotation is
Q26: In the hierarchical approach, the commonly used
Q27: In both principal components analysis and varimax
Q28: Rotation of factors changes the interpretation of
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