Clustered common factor exploration in factor analysis
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Publication:2177741
DOI10.1007/s11336-019-09666-5zbMath1439.62156OpenAlexW2921772608WikidataQ92214041 ScholiaQ92214041MaRDI QIDQ2177741
Kohei Uno, Nickolay T. Trendafilov, Kohei Adachi
Publication date: 6 May 2020
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-019-09666-5
exploratory factor analysisfactor indeterminacyclustered common factor scoresfactor identificationmatrix decomposition solution
Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Cites Work
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- Some mathematical properties of the matrix decomposition solution in factor analysis
- A generalization of Kristof's theorem on the trace of certain matrix products
- Comments on 'The measurement of factorial indeterminacy'
- A new method for simultaneous estimation of the factor model parameters, factor scores, and unique parts
- Eta, disco, odisco, and F
- Matrix-Based Introduction to Multivariate Data Analysis
- Best linear predictors for factor scores
- <b>SOME CONTRIBUTIONS TO DATA-FITTING FACTOR </b><b>ANALYSIS WITH EMPIRICAL COMPARISONS TO </b><b>COVARIANCE-FITTING FACTOR ANALYSIS </b>
- Modern Multivariate Statistical Techniques
- A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms
- Data Clustering: Theory, Algorithms, and Applications
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