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Best Practices for Your Exploratory Factor Analysis: A Factor Tutorial

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  • Pablo Rogers

Abstract

Context: exploratory factor analysis (EFA) is one of the statistical methods most widely used in administration; however, its current practice coexists with rules of thumb and heuristics given half a century ago. Objective: the purpose of this article is to present the best practices and recent recommendations for a typical EFA in administration through a practical solution accessible to researchers. Methods: in this sense, in addition to discussing current practices versus recommended practices, a tutorial with real data on Factor is illustrated. The Factor software is still little known in the administration area, but is freeware, easy-to-use (point and click), and powerful. The step-by-step tutorial illustrated in the article, in addition to the discussions raised and an additional example, is also available in the format of tutorial videos. Conclusion: through the proposed didactic methodology (article-tutorial + video-tutorial), we encourage researchers/methodologists who have mastered a particular technique to do the same. Specifically about EFA, we hope that the presentation of the Factor software, as a first solution, can transcend the current outdated rules of thumb and heuristics, by making best practices accessible to administration researchers.

Suggested Citation

  • Pablo Rogers, 2022. "Best Practices for Your Exploratory Factor Analysis: A Factor Tutorial," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(6), pages 210085-2100.
  • Handle: RePEc:abg:anprac:v:26:y:2022:i:6:1511
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    File URL: https://rac.anpad.org.br/index.php/rac/article/view/1511
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    File URL: https://rac.anpad.org.br/index.php/rac/article/view/1511/1734
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    Cited by:

    1. María Jesús Valero-Chillerón & Rafael Vila-Candel & Desirée Mena-Tudela & Francisco Javier Soriano-Vidal & Víctor M. González-Chordá & Laura Andreu-Pejo & Aloma Antolí-Forner & Lledó Durán-García & Mi, 2023. "Development and Validation of the Breastfeeding Literacy Assessment Instrument (BLAI) for Obstetric Women," IJERPH, MDPI, vol. 20(5), pages 1-14, February.
    2. Mahmoud Abdulhadi Alabdali & Sami A. Khan & Muhammad Zafar Yaqub & Mohammed Awad Alshahrani, 2024. "Harnessing the Power of Algorithmic Human Resource Management and Human Resource Strategic Decision-Making for Achieving Organizational Success: An Empirical Analysis," Sustainability, MDPI, vol. 16(11), pages 1-30, June.

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