Maximum Likelihood Factor Analysis is a statistical estimation method in factor analysis that belongs to the class of likelihood-based inference techniques, distinguished by its use of maximum likelihood principles to estimate latent factor structures under the assumption of multivariate normality.
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311
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283
Inferential Theory for Factor Models of Large Dimensions
Jushan Bai · Econometrica · 2003 · 1.7K citations
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Educational Testing Service
Princeton, United States
12 h-index
14 publications
5.3K citations
University of Southern California
Los Angeles, United States
10 h-index
18 publications
328 citations
University of Edinburgh
Edinburgh, United Kingdom
10 h-index
11 publications
801 citations
University of California, Los Angeles
Los Angeles, United States
9 h-index
12 publications
3.4K citations
California Southern University
Chandler, United States
8 h-index
15 publications
196 citations
University of Rhode Island
Kingston, United States
6 h-index
8 publications
645 citations
Uppsala University
Uppsala, Sweden
6 h-index
9 publications
728 citations
Mary Free Bed Rehabilitation Hospital
Grand Rapids, United States
5 h-index
6 publications
316 citations
1–8 of 311
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- Psychometrika
20 publications · 14.2K citations
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- Educational and Psychological Measurement
15 publications · 440 citations
12
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- Multivariate Behavioral Research
MBR · 11 publications · 2.3K citations
11
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- Psychological Reports
10 publications · 188 citations
10
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- British Journal of Mathematical and Statistical Psychology
8 publications · 478 citations
8
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