The DOI matches its Crossref record; 23 of the 24 references it cites were found in a registry or an index.
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
Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Self-citationInformation Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 18,636
Self-citationHarman, H. H. (1960) · Cited by 5,148
Fitting autoregressive models for prediction
Akaike, H. (1969) · Annals of the Institute of Statistical Mathematics · doi:10.1007/bf02532251 · Cited by 2,504
Self-citationFitting Autoregreesive Models for Prediction
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_10 · Cited by 2,044
Self-citationStatistical predictor identification
Akaike, H. (1970) · Annals of the Institute of Statistical Mathematics · doi:10.1007/bf02506337 · Cited by 1,262
Self-citationStatistical Predictor Identification
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_11 · Cited by 1,219
Self-citationMorrison, D. F., & Harman, H. H. (1961) · Journal of the American Statistical Association · doi:10.2307/2282293 · Cited by 1,178
Structural Analysis of Covariance and Correlation Matrices
Jöreskog, K. G. (1978) · Psychometrika · doi:10.1007/bf02293808 · Cited by 1,006
Some contributions to maximum likelihood factor analysis
Jöreskog, K. (1967) · Psychometrika · doi:10.1007/bf02289658 · Cited by 880
Factor Analysis as a Statistical Method.
Browne, M. W., Lawley, D. N., & Maxwell, A. E. (1973) · Journal of the American Statistical Association · doi:10.2307/2284191 · Cited by 733
Likelihood and the Bayes procedure
Akaike, H. (1980) · Trabajos de Estadistica y de Investigacion Operativa · doi:10.1007/bf02888350 · Cited by 729
Self-citationLikelihood and the Bayes procedure
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_24 · Cited by 455
Self-citationAkaike, H. (1985) · Springer eBooks · doi:10.1007/978-1-4613-8560-8_1 · Cited by 373
Self-citationEstimation and Tests of Significance in Factor Analysis
Rao, C. R. (1955) · Psychometrika · doi:10.1007/bf02288983 · Cited by 306
Factor Analysis as a Statistical Method. 2nd ed.
Gower, J. C., Lawley, D. N., & Maxwell, A. E. (1972) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2346288 · Cited by 291
Atkinson, A. C., & Fienberg, S. E. (1985) · Springer eBooks · doi:10.1007/978-1-4613-8560-8 · Cited by 217
Bayesian Estimation in Unrestricted Factor Analysis: A Treatment for Heywood Cases
Martin, J. K., & McDonald, R. P. (1975) · Psychometrika · doi:10.1007/bf02291552 · Cited by 115
A Newton-Raphson Algorithm for Maximum Likelihood Factor Analysis
Jennrich, R. I., & Robinson, S. M. (1969) · Psychometrika · doi:10.1007/bf02290176 · Cited by 96
Posterior analysis of the factor model
Bartholomew, D. J. (1981) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1981.tb00620.x · Cited by 91
Recent Trends in Factor Analysis
Maxwell, A. E. (1961) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2343153 · Cited by 44
Bozdogan, H., & Ramirez, D. E. (1987) · Springer eBooks · doi:10.1007/978-94-009-3977-6_3 · Cited by 18
ON THE CONVERGENCE OF ITERATIVE PROCEDURES IN FACTOR ANALYSIS
津村, 善. (1981) · Institutional Repositories DataBase (IRDB) · doi:10.20604/00001753 · Cited by 8
Research works printed but not linked: 1
- Tsumura, Y., Fukutomi, K., & Asoo, Y. (1968). On the unique convergence of iterative procedures in factor analysis. TRU Mathematics, 4,52–59. (Science University of Tokyo).
Cited by
Sorted by citations
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
Hu, L.-T., & Bentler, P. M. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.424 · Cited by 12,298
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003) · Department of Psychology - University of Koblenz-Landau · doi:10.23668/psycharchives.12784 · Cited by 8,975
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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