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Introduction

Exploratory Factor Analysis (EFA) has long been a central technique in psychological research, as a powerful tool for reducing the complexity in a set of data. Its key idea is that the variability in a large sample of observed variables is dependent upon a restricted number of non-observable ‘latent’ constructs. This entry addresses key issues in EFA, such as: aims of EFA, basic equations, factor extraction and rotation, number of factors in a factor solution, factor measurement and replicability, assumptions, future perspectives.

Aims of Exploratory Factor Analysis

Exploratory Factor Analysis (EFA) has long been a central technique that has been widely used, since the beginning of the 20th century, in different fields of psychological research such as the study of mental abilities, of personality traits, of values ...

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