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Affects of variable and subject sampling on factor pattern recovery.

Velicer, Wayne F., Fava, Joseph L.·1998·Psychological Methods

DOI 10.1037/1082-989x.3.2.231

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“The N: p ratio of this analysis was 89.5, higher than the one recom - mended in previous literature to achieve a good factorial recovery (e.g., Gorsuch, 1983; Velicer & Fava, 1998).”
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“Considering the criterion proposed by Raubenheimer (2004) and Velicer and Fava (1998), which suggests that each factor should have at least three items, it can be concluded that each factor in the developed scale contains a sufficient number of items.”
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“For example, several studies have claimed that multiple observations are needed per variable when applying factor-based methods (for an overview, see Velicer & Fava, 1998).”
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“…for all factors with the exception of two (≤ 2), so it was decided to reduce the number of factors to 8 to avoid an incorrect interpretation of results (Arrindell & van der Ende, 1985; MacCallum, Widaman, Preacher, & Hong, 2001; MacCallum, Widaman, Zhang, & Hong, 1999; Velicer & Fava, 1998).”
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“Factors with two or fewer loaded items were not considered interpretable (Velicer & Fara, 1998).”
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“A couple years later, Velicer and Fava (1998) published another highly cited paper where they conducted a simulation study to investigate what conditions affected the ability to recover an accurate factor pattern.”
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Authors: Velicer, W. F., & Fava, J. L.
Affiliations: University of Rhode Island (US)
ORCID: Velicer, Wayne F.
Fava, Joseph L.
Venue: Psychological Methods
Publisher: American Psychological Association (APA)
Published: 1998-06
Volume: 3
Issue: 2
Pages: 231-251
ISSN: 1082-989X (ISSN-L)
1939-1463
DOI: 10.1037/1082-989x.3.2.231
OpenAlex: W2014533626
Cited by: 998
References: 97
Citations by year: 2026: 34 · 2025: 47 · 2024: 53 · 2023: 46 · 2022: 48 · 2021: 55 · 2020: 70 · 2019: 49 · 2018: 64 · 2017: 65 · 2016: 56 · 2015: 51 · 2014: 62 · 2013: 55 · 2012: 48
FWCI: 11.03
Type: journal article
Language: en
Open access: closed
Locations: Psychological Methods (publishedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords: variable sampling, sample size, factor analysis

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Affects of variable and subject sampling on factor pattern recovery.

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