The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
An Index of Factorial Simplicity
Abstract
An index of factorial simplicity, employing the quartimax transformational criteria of Carroll, Wrigley and Neuhaus, and Saunders, is developed. This index is both for each row separately and for a factor pattern matrix as a whole. The index varies between zero and one. The problem of calibrating the index is discussed.
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In the citing paper
“Further, the observed components met Kaiser-Meyer-Olkin's (KMO) benchmark (Kaiser, 1974) and the eigen-values of greater than one.”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Kaiser, 1974
In the citing paper
“PCA was considered feasible if the KMO measure was greater than 0.6 and the Bartlett's test of sphericity p-value was less than 0.05 [41][42][43][44].”
From Evaluation of Autonomous Driving Safety by Operational Design Domains (ODD) in Mixed Traffic (2024) · cites this paper as [41]
In the citing paper
“Results revealed that the sampling adequacy can be accepted with a middling value of KMO = 0.794 (Kaiser, 1974) indicating low partial correlations between variables.”
From Development and Validation of a Theory-Based Questionnaire to Measure Different Types of Cognitive Load (2023) · cites this paper as Kaiser, 1974
In the citing paper
“The item reduction increased the KMO to 0.835 which can be interpreted as a meritorious value (Kaiser, 1974).”
From Development and Validation of a Theory-Based Questionnaire to Measure Different Types of Cognitive Load (2023) · cites this paper as Kaiser, 1974
In the citing paper
“For the remaining 31 items, the Keiser-Meier-Olkin test of sampling adequacy (KMO) was .933, which indicates a good degree of non-unique covariance amongst the set of items”
From The development and initial validation of the cognitive fusion questionnaire (2014) · cites this paper as Kaiser, 1974
Citations
Cites
Lambert, N. M., Ketzenberger, K. E., & Kemp, C. A. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese0122 · Cited by 2,253
Neuhaus, J. O., & Wrigley, C. (1954) · British Journal of Statistical Psychology · doi:10.1111/j.2044-8317.1954.tb00147.x · Cited by 243
An Analytical Solution for Approximating Simple Structure in Factor Analysis
Carroll, J. B. (1953) · Psychometrika · doi:10.1007/bf02289025 · Cited by 230
AN ANALYTIC METHOD FOR ROTATION TO ORTHOGONAL SIMPLE STRUCTURE
Saunders, D. R. (1953) · ETS Research Bulletin Series · doi:10.1002/j.2333-8504.1953.tb00890.x · Cited by 58
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“The Kaiser-Meyer-Olkin value (Kaiser, 1974) was 0.68, exceeding the recommended value of 0.6 and Bartlett’s test of sphericity (Bartlett, 1954) was also significant, X2 = 2309.72, p .001.”
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“A KMO value greater than 0.50 (Hair, Black, Babin, Anderson, & Tatham, 2006; Kaiser, 1974; Santouridis & Trivellas, 2010) indicates that factor analysis can be performed, and Table 5 shows the factor analysis performed.”
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Metadata
- Authors
- Kaiser, H. F.
- Affiliations
- United States Coast Guard Academy (US)
- Corresponding author
- Kaiser, Henry F.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1974-03
- Volume
- 39
- Issue
- 1
- Pages
- 31-36
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W1993760488
- Cited by
- 14,898
- References
- 4
- Citations by year
- 2026: 1557 · 2025: 1420 · 2024: 1148 · 2023: 1059 · 2022: 1044 · 2021: 1171 · 2020: 892 · 2019: 842 · 2018: 700 · 2017: 622 · 2016: 584 · 2015: 574 · 2014: 582 · 2013: 513 · 2012: 421
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychometrika (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Keywords
- index development, index calibration, factor analysis
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