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Exploratory Factor Analysis


Bollmann, Stella (2018). Exploratory Factor Analysis. In: Zeigler-Hill, Virgil; Shackelford, Todd K. Encyclopedia of Personality and Individual Differences. Cham: Springer, Epub ahead of print.

Abstract

The exploratory factor analysis is a statistical method that is used to identify latent variables that underlie a set of a larger number of manifest variables. The term exploratory factor analysis (EFA) stems from the need to differentiate from the confirmatory factor analysis (CFA). Historically, EFA is older than CFA and functions a little differently. What the two have in common is their usage: They examine existing sets of variables to determine their underlying factor model. The difference is that with CFA, a hypothesized factor model can be tested, while EFA develops unknown factor models.

Abstract

The exploratory factor analysis is a statistical method that is used to identify latent variables that underlie a set of a larger number of manifest variables. The term exploratory factor analysis (EFA) stems from the need to differentiate from the confirmatory factor analysis (CFA). Historically, EFA is older than CFA and functions a little differently. What the two have in common is their usage: They examine existing sets of variables to determine their underlying factor model. The difference is that with CFA, a hypothesized factor model can be tested, while EFA develops unknown factor models.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Language:English
Date:2018
Deposited On:10 Oct 2018 13:05
Last Modified:28 Mar 2019 13:53
Publisher:Springer
ISBN:978-3-319-28099-8
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/978-3-319-28099-8_1302-2

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