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Exploratory Factor Analysis; Concepts and Theory

Author

Listed:
  • Hamed Taherdoost

    (Hamta Group)

  • Shamsul Sahibuddin

    (Hamta Group)

  • Neda Jalaliyoon

    (UTM - Universiti Teknologi Malaysia)

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.

Suggested Citation

  • Hamed Taherdoost & Shamsul Sahibuddin & Neda Jalaliyoon, 2014. "Exploratory Factor Analysis; Concepts and Theory," Post-Print hal-02557344, HAL.
    • Handle: RePEc:hal:journl:hal-02557344
    Note: View the original document on HAL open archive server: https://hal.science/hal-02557344
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    References listed on IDEAS

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    6. Wayne Velicer, 1976. "Determining the number of components from the matrix of partial correlations," Psychometrika, Springer;The Psychometric Society, vol. 41(3), pages 321-327, September.
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