Factor analysis is a statistical method used for data reduction, scale development, and evaluating psychometric measures by assessing the dimensionality of a set of variables. It identifies underlying latent constructs such as teaching effectiveness and motivation, simplifying the understanding of complex phenomena through measurement of various dimensions. The technique generates factors that represent these constructs, allowing for a clearer analysis of the data.
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