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Factor Analysis and AIC
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“The Akaike Information Criterion (AIC; Akaike, 1987) was used for the purposes of model comparison, with the smallest value being indicative of the most parsimonious model (Byrne, 2012).”
From Examining Potential Psychological Protective and Risk Factors for Stress and Burnout in Social Workers. (2025) · cites this paper as Akaike, 1987
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Metadata
- Authors
- Akaike, H.
- Affiliations
- The Institute of Statistical Mathematics (JP)
- Corresponding author
- Akaike, Hirotugu
- Venue
- Springer Series in Statistics
- Publisher
- Springer New York
- Published
- 1987
- Pages
- 371-386
- ISSN
- 0172-7397 (ISSN-L)
- OpenAlex
- W2078977693
- Cited by
- 4,027
- References
- 24
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 19 · 2023: 51 · 2022: 62 · 2021: 191 · 2020: 214 · 2019: 227 · 2018: 188 · 2017: 203 · 2016: 200 · 2015: 241 · 2014: 248 · 2013: 233 · 2012: 213
- FWCI
- 43.81
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer series in statistics (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- factor analysis, number of factors, Bayesian model selection, improper solutions, prior distributions, factor loadings, maximum likelihood estimation, autoregressive model order selection
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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