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Stepwise variable selection in factor analysis

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  • Yutaka Kano
  • Akira Harada

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  • Yutaka Kano & Akira Harada, 2000. "Stepwise variable selection in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 7-22, March.
    • Handle: RePEc:spr:psycho:v:65:y:2000:i:1:p:7-22
    DOI: 10.1007/BF02294182
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    References listed on IDEAS

    as
    1. Yutaka Kano & Masamori Ihara, 1994. "Identification of inconsistent variates in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 59(1), pages 5-20, March.
    2. Karl Jöreskog, 1978. "Structural analysis of covariance and correlation matrices," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 443-477, December.
    3. K. Jöreskog, 1967. "Some contributions to maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 32(4), pages 443-482, December.
    4. Stanley Mulaik & Roderick McDonald, 1978. "The effect of additional variables on factor indeterminacy in models with a single common factor," Psychometrika, Springer;The Psychometric Society, vol. 43(2), pages 177-192, June.
    5. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    6. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    7. Frederick Davis, 1944. "Fundamental factors of comprehension in reading," Psychometrika, Springer;The Psychometric Society, vol. 9(3), pages 185-197, September.
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    Citations

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    Cited by:

    1. Brusco, Michael J. & Steinley, Douglas, 2011. "Exact and approximate algorithms for variable selection in linear discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 123-131, January.
    2. Kristine Hogarty & Jeffrey Kromrey & John Ferron & Constance Hines, 2004. "Selection of variables in exploratory factor analysis: An empirical comparison of a stepwise and traditional approach," Psychometrika, Springer;The Psychometric Society, vol. 69(4), pages 593-611, December.
    3. Michael Brusco & Renu Singh & Douglas Steinley, 2009. "Variable Neighborhood Search Heuristics for Selecting a Subset of Variables in Principal Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 705-726, December.
    4. Pacheco, Joaquín & Casado, Silvia & Porras, Santiago, 2013. "Exact methods for variable selection in principal component analysis: Guide functions and pre-selection," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 95-111.
    5. Ulrich Schroeders & Oliver Wilhelm & Gabriel Olaru, 2016. "Meta-Heuristics in Short Scale Construction: Ant Colony Optimization and Genetic Algorithm," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-19, November.
    6. Kaoru Fueda & Masaya Iizuka & Yuichi Mori, 2009. "Variable selection in multivariate methods using global score estimation," Computational Statistics, Springer, vol. 24(1), pages 127-144, February.
    7. Tangian, Andranik S., 2017. "Selection of questions for VAAs and the VAA-based elections," Working Paper Series in Economics 100, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    8. Tanguiane, Andranick S., 2019. "Combining the third vote with traditional elections," Working Paper Series in Economics 132, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    9. Brusco, Michael J., 2014. "A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 38-53.
    10. Lash, Michael T. & Sajeesh, S. & Araz, Ozgur M., 2023. "Predicting mobility using limited data during early stages of a pandemic," Journal of Business Research, Elsevier, vol. 157(C).

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