Selection of variables in exploratory factor analysis: an empirical comparison of a stepwise and traditional approach

DOI10.1007/BF02289857zbMath1306.62428OpenAlexW2081221429MaRDI QIDQ2260012

Constance V. Hines, Jeffrey D. Kromrey, Kristine Y. Hogarty, John M. Ferron

Publication date: 5 March 2015

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02289857

zbMATH Keywords

goodness-of-fit exploratory factor analysis varimax rotation stepwise variable selection pattern accuracy selection accuracy statistical bias

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (5)

Exact methods for variable selection in principal component analysis: guide functions and pre-selection ⋮ A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis ⋮ Simultaneous variable and factor selection via sparse group lasso in factor analysis ⋮ Exact and approximate algorithms for variable selection in linear discriminant analysis ⋮ Variable neighborhood search heuristics for selecting a subset of variables in principal component analysis

Cites Work

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