Exploratory Factor Analysis; Concepts and Theory

Hamed Taherdoost (), Shamsul Sahibuddin and Neda Jalaliyoon
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Hamed Taherdoost: Hamta Group
Shamsul Sahibuddin: Hamta Group
Neda Jalaliyoon: UTM - Universiti Teknologi Malaysia

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Abstract: Exploratory factor analysis is a complex and multivariate statistical technique commonly employed in information system, social science, education and psychology. This paper intends to provide a simplified collection of information for researchers and practitioners undertaking exploratory factor analysis (EFA) and to make decisions about best practice in EFA. Particularly, the objective of the paper is to provide practical and theoretical information on decision making of sample size, extraction, number of factors to retain and rotational methods.

Keywords: Factor Retention Decisions; Exploratory Factor Analysis; Factor Analysis; Scale Development; Extraction and Rotation Methods (search for similar items in EconPapers)
Date: 2014
Note: View the original document on HAL open archive server: https://hal.science/hal-02557344
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Citations: View citations in EconPapers (13)

Published in Jerzy Balicki. Advances in Applied and Pure Mathematics, 27, WSEAS, pp.375-382, 2014, Mathematics and Computers in Science and Engineering Series, 978-960-474-380-3

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