Factor rotation is used to:
A) make the factors distinct.
B) reduce the amount of error variance in your data.
C) reduce the impact of outliers.
D) normalize data that are not normal.
Correct Answer:
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Q19: Which of the following statements is true
Q20: In _, several dependent variables are analyzed
Q21: In factor analysis, each _ is the
Q22: By convention, loadings are interpreted only if
Q23: The strength of a factor is indicated
Q25: In _ rotation, the axes representing the
Q26: The most popular orthogonal rotation method in
Q27: In the context of factor analysis, identify
Q28: In principal components analysis, the diagonal of
Q29: Principal factors analysis completes a correlation matrix
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