Introduction
Exploratory Factor Analysis (EFA) is one of the multivariate data analyses used for uncovering factors that constitute features of a scientific research laboratory such as individual characteristics or behavioral features. EFA is particularly useful with multi-item inventories designed to measure personality, attitudes, behavioral styles, cognitive schema and other multifaceted constructs of interest to clinical psychologists (Floyd, 1995). Since its initial development about a century ago (Spearman, 1904, 1927), EFA has been one of the most widely used statistical procedures not only in the psychology field but also in the fields of behavioral science and biology
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