IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v26y1961i4p405-432.html
   My bibliography  Save this article

An empirical study of the factor analysis stability hypothesis

Author

Listed:
  • Harold Bechtoldt

Abstract

No abstract is available for this item.

Suggested Citation

  • Harold Bechtoldt, 1961. "An empirical study of the factor analysis stability hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 26(4), pages 405-432, December.
  • Handle: RePEc:spr:psycho:v:26:y:1961:i:4:p:405-432
    DOI: 10.1007/BF02289771
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02289771
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02289771?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. Louis Guttman, 1958. "To what extent can communalities reduce rank?," Psychometrika, Springer;The Psychometric Society, vol. 23(4), pages 297-308, December.
    2. Ledyard Tucker, 1940. "The role of correlated factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 5(2), pages 141-152, June.
    3. Ledyard Tucker, 1955. "The objective definition of simple structure in linear factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 20(3), pages 209-225, September.
    4. Quinn McNemar, 1941. "On the sampling errors of factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 6(3), pages 141-152, June.
    5. Robert Wherry, 1959. "Hierarchical factor solutions without rotation," Psychometrika, Springer;The Psychometric Society, vol. 24(1), pages 45-51, March.
    6. L. Thurstone, 1937. "Current misuse of the factorial methods," Psychometrika, Springer;The Psychometric Society, vol. 2(2), pages 73-76, June.
    7. John Schmid & John Leiman, 1957. "The development of hierarchical factor solutions," Psychometrika, Springer;The Psychometric Society, vol. 22(1), pages 53-61, March.
    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. Harold Bechtoldt, 1974. "A confirmatory analysis of the factor stability hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 39(3), pages 319-326, September.
    2. Raymond Hubbard & Stuart J. Allen, 1987. "A Cautionary Note on the Use of Principal Components Analysis," Sociological Methods & Research, , vol. 16(2), pages 301-308, November.
    3. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2020. "The ultrametric correlation matrix for modelling hierarchical latent concepts," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 837-853, December.
    4. Masashi Okamoto & Masamori Ihara, 1983. "A new algorithm for the least-squares solution in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 597-605, December.
    5. Otto Driel, 1978. "On various causes of improper solutions in maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 43(2), pages 225-243, June.
    6. Norman Cliff & Roger Pennell, 1967. "The influence of communality, factor strength, and loading size on the sampling characteristics of factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 309-326, September.

    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. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2022. "Gaussian mixture model with an extended ultrametric covariance structure," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(2), pages 399-427, June.
    2. Carlo Cavicchia & Maurizio Vichi, 2021. "Statistical Model-Based Composite Indicators for Tracking Coherent Policy Conclusions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 449-479, August.
    3. Carlo Cavicchia & Maurizio Vichi, 2022. "Second-Order Disjoint Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 289-309, March.
    4. Richard Zinbarg & William Revelle & Iftah Yovel & Wen Li, 2005. "Cronbach’s α, Revelle’s β, and Mcdonald’s ω H : their relations with each other and two alternative conceptualizations of reliability," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 123-133, March.
    5. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2020. "The ultrametric correlation matrix for modelling hierarchical latent concepts," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 837-853, December.
    6. Niels G. Waller, 2018. "Direct Schmid–Leiman Transformations and Rank-Deficient Loadings Matrices," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 858-870, December.
    7. Harry Harman, 1941. "On the rectilinear prediction of oblique factors," Psychometrika, Springer;The Psychometric Society, vol. 6(1), pages 29-35, February.
    8. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    9. Ando, Tomohiro, 2009. "Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1717-1726, September.
    10. P. Bentler, 1986. "Structural modeling and psychometrika: An historical perspective on growth and achievements," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 35-51, March.
    11. Kin Cheung & Tsz Leung Yip & C L Johnny Wan & Hilda Tsang & Lillian Weiwei Zhang & Anna Parpala, 2020. "Differences in study workload stress and its associated factors between transfer students and freshmen entrants in an Asian higher education context," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-23, May.
    12. Paul Bekker & Jan Leeuw, 1987. "The rank of reduced dispersion matrices," Psychometrika, Springer;The Psychometric Society, vol. 52(1), pages 125-135, March.
    13. Bongiorno, Christian & Miccichè, Salvatore & Mantegna, Rosario N., 2022. "Statistically validated hierarchical clustering: Nested partitions in hierarchical trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    14. Petr Květon & Martin Jelínek & Iva Burešová, 2022. "Psychometric Properties of the Sport Multidimensional Perfectionism Scale-2 in Czech Adolescent Athletes: An Exploratory Approach," SAGE Open, , vol. 12(3), pages 21582440221, July.
    15. Robert Jennrich & Peter Bentler, 2012. "Exploratory Bi-factor Analysis: The Oblique Case," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 442-454, July.
    16. Reynolds, Matthew R. & Keith, Timothy Z., 2017. "Multi-group and hierarchical confirmatory factor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition: What does it measure?," Intelligence, Elsevier, vol. 62(C), pages 31-47.
    17. Bert Green, 1966. "The computer revolution in psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 437-445, December.
    18. Bai, Jushan & Ng, Serena, 2019. "Rank regularized estimation of approximate factor models," Journal of Econometrics, Elsevier, vol. 212(1), pages 78-96.
    19. Li Cai, 2015. "Lord–Wingersky Algorithm Version 2.0 for Hierarchical Item Factor Models with Applications in Test Scoring, Scale Alignment, and Model Fit Testing," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 535-559, June.
    20. Joachim Büschken & Thomas Otter & Greg M. Allenby, 2013. "The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis," Marketing Science, INFORMS, vol. 32(4), pages 533-553, July.

    More about this item

    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:26:y:1961:i:4:p:405-432. 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.