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Factor analysis is a statistical method used in psychology to understand the underlying structure of data, particularly in assessing intellectual ability and personality. It aims to identify common factors that explain the correlations observed among a set of variables.12

Pioneered by researchers like Charles E. Spearman and Louis L. Thurstone, factor analysis was initially used to explore the concept of a general intelligence factor (g) and specific abilities (s). Modern applications utilize computer-generated solutions for hypothesis testing and exploring complex data structures. This technique is also applied to personality measures, with some studies suggesting four broad factors: conformity, extroversion, anxiety, and dependability.1

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