IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v44y1979i4p409-420.html
   My bibliography  Save this article

Estimation for the multiple factor model when data are missing

Author

Listed:
  • Carl Finkbeiner

Abstract

No abstract is available for this item.

Suggested Citation

  • Carl Finkbeiner, 1979. "Estimation for the multiple factor model when data are missing," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 409-420, December.
    • Handle: RePEc:spr:psycho:v:44:y:1979:i:4:p:409-420
    DOI: 10.1007/BF02296204
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02296204
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02296204?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. Ledyard Tucker & Raymond Koopman & Robert Linn, 1969. "Evaluation of factor analytic research procedures by means of simulated correlation matrices," Psychometrika, Springer;The Psychometric Society, vol. 34(4), pages 421-459, December.
    2. Michael Browne, 1968. "A comparison of factor analytic techniques," Psychometrika, Springer;The Psychometric Society, vol. 33(3), pages 267-334, September.
    3. Terry Gleason & Richard Staelin, 1975. "A proposal for handling missing data," Psychometrika, Springer;The Psychometric Society, vol. 40(2), pages 229-252, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tang, Man-Lai & Bentler, Peter M., 1998. "Theory and method for constrained estimation in structural equation models with incomplete data," Computational Statistics & Data Analysis, Elsevier, vol. 27(3), pages 257-270, May.
    2. Ke-Hai Yuan & Linda Marshall & Peter Bentler, 2002. "A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 95-121, March.
    3. Mahajan, Ashish & Toh, Soo Min, 2014. "Facilitating expatriate adjustment: The role of advice-seeking from host country nationals," Journal of World Business, Elsevier, vol. 49(4), pages 476-487.
    4. Tang, Man-Lai & Lee, Sik-Yum, 1998. "Analysis of structural equation models with censored or truncated data via EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 27(1), pages 33-46, March.
    5. Yuan, Ke-Hai, 2009. "Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1900-1918, October.
    6. Sik-Yum Lee, 1986. "Estimation for structural equation models with missing data," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 93-99, March.

    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. Ronald Gunderson & Pin Ng, 2006. "Summarizing the Effect of a Wide Array of Amenity Measures into Simple Components," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 79(2), pages 313-335, November.
    2. Dirk Knol & Jos Berge, 1989. "Least-squares approximation of an improper correlation matrix by a proper one," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 53-61, March.
    3. C. Hendricks Brown, 1983. "Asymptotic comparison of missing data procedures for estimating factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 269-291, June.
    4. James Laughlin, 1979. "A bayesian alternative to least squares and equal weighting coefficients in regression," Psychometrika, Springer;The Psychometric Society, vol. 44(3), pages 271-288, September.
    5. Urbano Lorenzo-Seva, 2003. "A factor simplicity index," Psychometrika, Springer;The Psychometric Society, vol. 68(1), pages 49-60, March.
    6. Paul Boeck & Michael L. DeKay & Jolynn Pek, 2024. "Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 89(3), pages 1055-1073, September.
    7. Hirschberger, Markus & Qi, Yue & Steuer, Ralph E., 2007. "Randomly generating portfolio-selection covariance matrices with specified distributional characteristics," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1610-1625, March.
    8. 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.
    9. Hao Wu & Michael Browne, 2015. "Quantifying Adventitious Error in a Covariance Structure as a Random Effect," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 571-600, September.
    10. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    11. Kawee Numpacharoen & Amporn Atsawarungruangkit, 2012. "Generating Correlation Matrices Based on the Boundaries of Their Coefficients," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    12. Jos� Dias Curto & Jos� Castro Pinto, 2011. "The corrected VIF (CVIF)," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1499-1507, June.
    13. Robert MacCallum & Anthony O’Hagan, 2015. "Advances in Modeling Model Discrepancy: Comment on Wu and Browne (2015)," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 601-607, September.
    14. Keke Lai, 2019. "Creating Misspecified Models in Moment Structure Analysis," Psychometrika, Springer;The Psychometric Society, vol. 84(3), pages 781-801, September.
    15. Foss, Tron & Jöreskog, Karl G. & Olsson, Ulf H., 2011. "Testing structural equation models: The effect of kurtosis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2263-2275, July.
    16. Edoardo Saccenti & Marieke E. Timmerman, 2017. "Considering Horn’s Parallel Analysis from a Random Matrix Theory Point of View," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 186-209, March.
    17. Alexander Robitzsch, 2022. "Comparing the Robustness of the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM) against Local Model Misspecifications with Alternative Estimation Approaches," Stats, MDPI, vol. 5(3), pages 1-42, July.
    18. Fundin, Anders & Bergquist, Bjarne & Eriksson, Henrik & Gremyr, Ida, 2018. "Challenges and propositions for research in quality management," International Journal of Production Economics, Elsevier, vol. 199(C), pages 125-137.
    19. Stef Buuren & Jan Rijckevorsel, 1992. "Imputation of missing categorical data by maximizing internal consistency," Psychometrika, Springer;The Psychometric Society, vol. 57(4), pages 567-580, December.
    20. William Strout, 1990. "A new item response theory modeling approach with applications to unidimensionality assessment and ability estimation," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 293-325, June.

    More about this item

    Keywords

    factor analysis; missing data;

    Statistics

    Access and download statistics

    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:44:y:1979:i:4:p:409-420. 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.