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Psychometrika|December 16, 2017
Some Mathematical Properties of the Matrix Decomposition Solution in Factor AnalysisKohei Adachi, Nickolay T TrendafilovPsychometrika|August 2, 2014
Sparse Versus Simple Structure LoadingsNickolay T Trendafilov, Kohei AdachiPsychometrika|March 9, 2019
Clustered Common Factor Exploration in Factor AnalysisKohei Uno, Kohei Adachi, Nickolay T TrendafilovPsychometrika|July 15, 2017
Sparse Exploratory Factor AnalysisNickolay T Trendafilov, Sara Fontanella, Kohei AdachiThe British Journal of Mathematical and Statistical Psychology|June 23, 2005
Fitting the factor analysis model in lI normNickolay T TrendafilovThe British Journal of Mathematical and Statistical Psychology|November 19, 2005
Independent component analysis as a rotation method: a very different solution to Thurstone's box problemRobert I Jennrich, Nickolay T TrendafilovPsychometrika|August 10, 2014
Factor analysis with EM algorithm never gives improper solutions when sample covariance and initial parameter matrices are properKohei AdachiPsychometrika|February 1, 2022
Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and ErrorsKohei AdachiMultivariate Behavioral Research|April 26, 2019
Permutimin: Factor Rotation to Simple Structure with Permutation of VariablesNaoto Yamashita, Kohei AdachiPsychometrika|August 10, 2014
Oblique rotaton in canonical correlation analysis reformulated as maximizing the generalized coefficient of determinationHironori Satomura, Kohei AdachiPageof 2