The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Exploratory Factor Analysis: A Five-Step Guide for Novices
Abstract
Factor analysis is a multivariate statistical approach commonly used in psychology, education, and more recently in the health-related professions. This paper will attempt to provide novice researchers with a simplified approach to undertaking exploratory factor analysis (EFA). As the paramedic body of knowledge continues to grow, indeed into scale and instrument psychometrics, it is timely that an uncomplicated article such as this be offered to the paramedic readership both nationally and internationally. Factor analysis is an important tool that can be used in the development, refinement, and evaluation of tests, scales, and measures that can be used in education and clinical contexts by paramedics. The objective of the paper is to provide an exploratory factor analysis protocol, offering potential researchers with an empirically-supported systematic approach that simplifies the many guidelines and options associated with completing EFA.
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Cites
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Cited by
Kyriazos, T. A. (2018) · Psychology · doi:10.4236/psych.2018.98126 · Cited by 1,882
“Comrey and Lee (1992); and Comrey et al., 1973) graded a factor analysis sample of 50 as very poor, 100 as poor, 200 as fair, 300 as good, 500 as very good, and 1000 as excellent (quoted also by Costello & Osborne, 2005; DeVellis, 2017; Williams et al., 2010 and others).”
BackgroundThe development and initial validation of the cyberchondria severity scale (CSS)
McElroy, E., & Shevlin, M. (2014) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2013.12.007 · Cited by 383
Grassini, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1191628 · Cited by 330
Testing the independence of self-reported interoceptive accuracy and attention
Murphy, J., Brewer, R., Plans, D., Khalsa, S. S., Catmur, C., & Bird, G. (2020) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021819879826 · Cited by 235
Javornik, A., Marder, B., Barhorst, J. B., McLean, G., Rogers, Y., Marshall, P., & Warlop, L. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107126 · Cited by 224
Metadata
- Authors
- Williams, B., Onsman, A., & Brown, T.
- Venue
- Australasian Journal of Paramedicine
- Publisher
- SAGE Publications
- Published
- 2010-01
- Volume
- 8
- Pages
- 1-13
- ISSN
- 2202-7270 (ISSN-L)
- OpenAlex
- W2118934859
- Cited by
- 2,739
- References
- 33
- FWCI
- 11.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
