IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v30y2002i4p568-579.html
   My bibliography  Save this article

A Note on a Two-stage Least Squares Estimator for Higher-order Factor Analyses

Author

Listed:
  • KENNETH A. BOLLEN

    (University of North Carolina at Chapel Hill)

  • JEREMY C. BIESANZ

    (University of Wisconsin-Madison)

Abstract

This article extends Bollen's two-stage least squares (2SLS) estimator to estimate confirmatory higher-order factor analysis models. This includes estimation of the higher-order and lower-order factor loadings and their intercepts. This 2SLS estimator does not require that the observed variables come from normal distributions, and it is less sensitive to specification errors than are the full information estimators. As such, this makes the 2SLS estimator a useful complementary estimator to the other full information estimators.

Suggested Citation

  • Kenneth A. Bollen & Jeremy C. Biesanz, 2002. "A Note on a Two-stage Least Squares Estimator for Higher-order Factor Analyses," Sociological Methods & Research, , vol. 30(4), pages 568-579, May.
    • Handle: RePEc:sae:somere:v:30:y:2002:i:4:p:568-579
    DOI: 10.1177/0049124102030004004
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124102030004004
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124102030004004?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
    ---><---

    References listed on IDEAS

    as
    1. Albert Madansky, 1964. "Instrumental variables in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 105-113, June.
    2. Kenneth Bollen, 1996. "An alternative two stage least squares (2SLS) estimator for latent variable equations," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 109-121, March.
    3. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    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. Kenneth A. Bollen & Daniel J. Bauer, 2004. "Automating the Selection of Model-Implied Instrumental Variables," Sociological Methods & Research, , vol. 32(4), pages 425-452, May.
    2. Kenneth Bollen & Stanislav Kolenikov & Shawn Bauldry, 2014. "Model-Implied Instrumental Variable—Generalized Method of Moments (MIIV-GMM) Estimators for Latent Variable Models," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 20-50, January.
    3. Kenneth A. Bollen & James B. Kirby & Patrick J. Curran & Pamela M. Paxton & Feinian Chen, 2007. "Latent Variable Models Under Misspecification: Two-Stage Least Squares (2SLS) and Maximum Likelihood (ML) Estimators," Sociological Methods & Research, , vol. 36(1), pages 48-86, August.
    4. Kenneth Bollen, 1996. "An alternative two stage least squares (2SLS) estimator for latent variable equations," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 109-121, March.
    5. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
    6. Eleftherios Giovanis & Oznur Ozdamar, 2023. "Instrumental variables in structural equation modelling: an application on the impact of labour factors on health and standard of livings," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1083-1121, October.
    7. Rui J. P. De Figueiredo & Zachary Elkins, 2003. "Are Patriots Bigots? An Inquiry into the Vices of In‐Group Pride," American Journal of Political Science, John Wiley & Sons, vol. 47(1), pages 171-188, January.
    8. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    9. Giuseppe Croce & Emanuela Ghignoni, 2011. "Overeducation and spatial flexibility in Italian local labour markets," Working Papers in Public Economics 145, University of Rome La Sapienza, Department of Economics and Law.
    10. Darrian Collins & Clem Tisdell, 2004. "Outbound Business Travel Depends on Business Returns: Australian Evidence," Australian Economic Papers, Wiley Blackwell, vol. 43(2), pages 192-207, June.
    11. Jongeneel, Roelof A. & Ge, Lan, 2005. "Explaining Growth in Dutch Agriculture: Prices, Public R&D, and Technological Change," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24573, European Association of Agricultural Economists.
    12. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    13. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    14. Rao, Surekha & Ghali, Moheb & Krieg, John, 2008. "On the J-test for nonnested hypotheses and Bayesian extension," MPRA Paper 14637, University Library of Munich, Germany.
    15. Schimmelpfennig, Axel, 1998. "The celtic tiger faces the factor price frontier: Labour market adjustment in Ireland," Kiel Working Papers 855, Kiel Institute for the World Economy (IfW Kiel).
    16. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.
    17. Maria Iacovou, 2002. "Class Size in the Early Years: Is Smaller Really Better?," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 261-290.
    18. Maarten A. Allers & Corine Hoeben, 2010. "Effects of Unit-Based Garbage Pricing: A Differences-in-Differences Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(3), pages 405-428, March.
    19. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    20. Bergman, Mats A. & Johansson, Per & Bergman, M.A., 2002. "Large investments in the pulp and paper industry: a count data regression analysis," Journal of Forest Economics, Elsevier, vol. 8(1), pages 29-52.

    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:sae:somere:v:30:y:2002:i:4:p:568-579. 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: SAGE Publications (email available below). General contact details of provider: .

    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.