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Affects of variable and subject sampling on factor pattern recovery.
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“the guidelines of Velicer and Fava (1998) about the size of the factor loadings and the number of variables as a function of the sample size are pertinent in CFA/SEM too.”
From Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General (2018) · cites this paper as Velicer and Fava (1998)
Citations
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“Additionally, across these solutions, there were several items with either low factor loadings (<0.32; Tabachnick & Fidell, 2001) or low communalities (<0.40; Velicer & Fava, 1998).”
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“…was less than the 96 required for multi-group cfa, i.e. fewer than four per item (Bentler & chou, 1987; Berger, 2022; stevens & James, 2015; velicer & fava, 1998). thus, to obtain an adequate sample size of men, we added the fully completed esQ obtained from the 527 participants in our…”
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“In a combined dataset of manufacturing organizations, item loadings vary from 0.697 to 0.834, with the communalities of 0.80 or greater considered high [65].”
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“The likelihood of a factor being replicable increases with the number of items associated with it (Little et al., 1999; Velicer & Fava, 1998).”
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“Factors with fewer than three items are generally weak, unstable, and less likely to replicate (Little et al., 1999; Velicer and Fava, 1998).”
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“As noted and justified by Velicer and Fava [35], using a random selection of smaller sets of items for these analyses is similar in logic to random sampling procedures that are utilized to avoid “overfitting to idiosyncratic sample variance while identifying stable covariance structures across…”
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“Following Velicer and Fava (1998) [25] and Wang and Wang (2012), [26] the sample size was determined based on the recommendation of a minimum of 200 participants per group and 20 participants per observed variable for a multigroup causal model analysis (Hair et al ., 2011).”
Rouquette, A. (2014) · doi:10.70675/1b516689z4543z40f7zba2czf9b66234c145
“This was not the case in the previous simulation studies exploring sample size in factor analysis (Guadagnoli and Velicer, 1988; Hogarty et al., 2005; MacCallum et al., 1999; Mundfrom et al., 2005; Velicer and Fava, 1998; Velicer et al., 1982).”
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“It is suggested that there should be at least ten cases for every item which is being used in the instrument (Arrindell & Van der Ende, 1985; Everitt, 1975; Garson, 2008; Velicer & Fava, 1998).”
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“…Creative Commons Attribution , que permite su uso, distribución y reproducción en cualquier medio, sin restricciones, siempre y cuando el trabajo original se cite correctamente. dimensión, lo que le proporcionaría el debido mapeo del crecimiento de intensidad del contenido dimensional 21,22 .”
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“↔ Additionally, it is worth highlighting that, since the exclusion of an item from the cognitive dimension 5 , FA12 does not meet the requirement of at least three items per dimension, which would confer it the due mapping of the growing intensity of the dimension content 21,22 .”
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Metadata
- Authors
- Velicer, W. F., & Fava, J. L.
- Affiliations
- University of Rhode Island (US)
- Venue
- Psychological Methods
- Published
- 1998-06
- Volume
- 3
- Issue
- 2
- Pages
- 231-251
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- 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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