Spss ibm andy field1/19/2023 These techniques have three uses: understanding the structure of a set of variables ( 1), construct a questionnaire to measure an underlying variable ( 2) and reduce a dataset to a more manageable size while retaining as much of the original information as possible ( 3).įactor analysis attempts to achieve parsimony by explaining the maximum amount of common variance in a correlation matrix using the smallest number of explanatory constructs ( latent variables). Factor analysis and principal component analysis ( PCA) are techniques for identifying clusters of variables.
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