IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v71y2006i3p503-519.html
   My bibliography  Save this article

Implications of Indeterminate Factor-Error Covariances for Factor Construction, Prediction, and Determinacy

Author

Listed:
  • Wim Krijnen

Abstract

No abstract is available for this item.

Suggested Citation

  • Wim Krijnen, 2006. "Implications of Indeterminate Factor-Error Covariances for Factor Construction, Prediction, and Determinacy," Psychometrika, Springer;The Psychometric Society, vol. 71(3), pages 503-519, September.
  • Handle: RePEc:spr:psycho:v:71:y:2006:i:3:p:503-519
    DOI: 10.1007/s11336-004-1260-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11336-004-1260-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11336-004-1260-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William Rozeboom, 1982. "The determinacy of common factors in large item domains," Psychometrika, Springer;The Psychometric Society, vol. 47(3), pages 281-295, September.
    2. Schneeweiss, H. & Mathes, H., 1995. "Factor Analysis and Principal Components," Journal of Multivariate Analysis, Elsevier, vol. 55(1), pages 105-124, October.
    3. Yoshio Takane & Jan Leeuw, 1987. "On the relationship between item response theory and factor analysis of discretized variables," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 393-408, September.
    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. Walter Lederman, 1938. "The orthogonal transformations of a factorial matrix into itself," Psychometrika, Springer;The Psychometric Society, vol. 3(3), pages 181-187, September.
    6. Anders Skrondal & Petter Laake, 2001. "Regression among factor scores," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 563-575, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Niels G. Waller, 2023. "Breaking Our Silence on Factor Score Indeterminacy," Journal of Educational and Behavioral Statistics, , vol. 48(2), pages 244-261, April.
    2. Shelby Haberman, 2006. "Bias in Estimation of Misclassification Rates," Psychometrika, Springer;The Psychometric Society, vol. 71(2), pages 387-394, June.
    3. Wim Krijnen, 2002. "On the construction of all factors of the model for factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 161-172, March.
    4. Wim Krijnen, 2006. "Necessary Conditions for Mean Square Convergence of the Best Linear Factor Predictor," Psychometrika, Springer;The Psychometric Society, vol. 71(3), pages 593-599, September.
    5. Wim Krijnen & Theo Dijkstra & Richard Gill, 1998. "Conditions for factor (in)determinacy in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 63(4), pages 359-367, December.
    6. Rajdeep Grewal & Murali Chandrashekaran & F. Robert Dwyer, 2008. "Navigating Local Environments with Global Strategies: A Contingency Model of Multinational Subsidiary Performance," Marketing Science, INFORMS, vol. 27(5), pages 886-902, 09-10.
    7. de Leeuw, Jan, 2006. "Principal component analysis of binary data by iterated singular value decomposition," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 21-39, January.
    8. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    9. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
    10. Anastasiia Laskovaia & Galina Shirokova & Michael H. Morris, 2017. "National culture, effectuation, and new venture performance: global evidence from student entrepreneurs," Small Business Economics, Springer, vol. 49(3), pages 687-709, October.
    11. Christoph T. Weiss, 2012. "Persistent Attitudes and Behaviors," "Marco Fanno" Working Papers 0143, Dipartimento di Scienze Economiche "Marco Fanno".
    12. Francesco Bartolucci & Ivonne Solis-Trapala, 2010. "Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 725-743, December.
    13. Molenaar, Dylan & Kő, Natasa & Rózsa, Sandor & Mészáros, Andrea, 2017. "Differentiation of cognitive abilities in the WAIS-IV at the item level," Intelligence, Elsevier, vol. 65(C), pages 48-59.
    14. Yang Yixin & Lü Xin & Ma Jian & Qiao Han, 2014. "A Robust Factor Analysis Model for Dichotomous Data," Journal of Systems Science and Information, De Gruyter, vol. 2(5), pages 437-450, October.
    15. Naomichi Makino, 2015. "Generalized data-fitting factor analysis with multiple quantification of categorical variables," Computational Statistics, Springer, vol. 30(1), pages 279-292, March.
    16. Chun Wang & Steven W. Nydick, 2020. "On Longitudinal Item Response Theory Models: A Didactic," Journal of Educational and Behavioral Statistics, , vol. 45(3), pages 339-368, June.
    17. Zsuzsa Bakk & Jouni Kuha, 2018. "Two-Step Estimation of Models Between Latent Classes and External Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 871-892, December.
    18. Yong Luo & Khaleel Al-Harbi, 2016. "The Utility of the Bifactor Method for Unidimensionality Assessment When Other Methods Disagree," SAGE Open, , vol. 6(4), pages 21582440166, October.
    19. Thum, Anna-Elisabeth, 2013. "Psychology in econometric models: conceptual and methodological foundations," MPRA Paper 52293, University Library of Munich, Germany.
    20. Michael Edwards, 2010. "A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 474-497, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:71:y:2006:i:3:p:503-519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.