However, all analysts are looking for simple structure. Given the number of factor analytic techniques and options, it is not surprisingĭifferent analysts could reach very different results analyzing the same data You also need to determine the number of factors that you want to extract. Oblique rotations, such as promax, which allow the factors to be correlated with Impose the restriction that the factors cannot be correlated, and Of factors, including orthogonal rotations, such as varimax and equimax, which Many different types of rotations that can be done after the initial extraction Likelihood, generalized least squares, unweighted least squares), There are also There are many different methods thatĬan be used to conduct a factor analysis (such as principal axis factor, maximum Underlying unobservable (latent) variables that are reflected in the observed Overview: The “what” and “why” of factor analysisįactor analysis is a method of data reduction. Professor James Sidanius, who has generously shared them with us. The data used in this example were collected by This page shows an example of a factor analysis with footnotesĮxplaining the output.
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