IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v49y1984i1p37-47.html
   My bibliography  Save this article

Using phantom and imaginary latent variables to parameterize constraints in linear structural models

Author

Listed:
  • David Rindskopf

Abstract

No abstract is available for this item.

Suggested Citation

  • David Rindskopf, 1984. "Using phantom and imaginary latent variables to parameterize constraints in linear structural models," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 37-47, March.
  • Handle: RePEc:spr:psycho:v:49:y:1984:i:1:p:37-47
    DOI: 10.1007/BF02294204
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294204
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02294204?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. Sik-Yum Lee & Kwok-Leung Tsui, 1982. "Covariance structure analysis in several populations," Psychometrika, Springer;The Psychometric Society, vol. 47(3), pages 297-308, September.
    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. Jost Reinecke, 2002. "Nonlinear Structural Equation Models with the Theory of Planned Behavior: Comparison of Multiple Group and Latent Product Term Analyses," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(2), pages 93-112, May.
    2. Krijnen, Wim P., 1996. "Algorithms for unweighted least-squares factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 133-147, February.
    3. Tsonaka, R. & Moustaki, I., 2007. "Parameter constraints in generalized linear latent variable models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4164-4177, May.
    4. Karatepe, Osman M. & Kim, Taegoo Terry, 2020. "Investigating the selected consequences of boreout among cabin crew," Journal of Air Transport Management, Elsevier, vol. 82(C).
    5. Leslie Hayduk, 2006. "Blocked-Error-R 2 : A Conceptually Improved Definition of the Proportion of Explained Variance in Models Containing Loops or Correlated Residuals," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(4), pages 629-649, August.
    6. Tenko Raykov & George A. Marcoulides, 2010. "Multivariate Effect Size Estimation: Confidence Interval Construction via Latent Variable Modeling," Journal of Educational and Behavioral Statistics, , vol. 35(4), pages 407-421, August.
    7. Donald Green & Bradley Palmquist, 1991. "More “tricks of the trade”: Reparameterizing LISREL models using negative variances," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 137-145, March.
    8. David Gerbing & James Anderson, 1987. "Improper solutions in the analysis of covariance structures: Their interpretability and a comparison of alternate respecifications," Psychometrika, Springer;The Psychometric Society, vol. 52(1), pages 99-111, March.
    9. Roderick McDonald & Prudence Parker & Tomoichi Ishizuka, 1993. "A scale-invariant treatment for recursive path models," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 431-443, September.
    10. Simone Santoni & Paolo Ferri & Maria Lusiani, 2013. "Novelty Conduits and Forms of Network Ties: To Bond or to Bridge?," Working Papers 34, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
    11. Robert Cudeck & Kelli Klebe & Susan Henly, 1993. "A simple Gauss-Newton procedure for covariance structure analysis with high-level computer languages," Psychometrika, Springer;The Psychometric Society, vol. 58(2), pages 211-232, June.
    12. Driver, Charles C. & Oud, Johan H. L. & Voelkle, Manuel C., 2017. "Continuous Time Structural Equation Modeling with R Package ctsem," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i05).
    13. de Graaf, P.M. & Huinink, J.J., 1992. "Trends in measured and unmeasured effects of family background on educational attainment and occupational status in the Federal Republic of Germany," WORC Paper 92.01.002/1, Tilburg University, Work and Organization Research Centre.
    14. Jost Reinecke & Peter Schmidt, 1993. "Explaining interviewer effects and respondent behavior: Theoretical models and empirical analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(3), pages 219-247, August.
    15. Hans Baumgartner & Richard P. Bagozzi, 1995. "Specification, Estimation, and Testing of Moment Structure Models Based on Latent Variates Involving Interactions among the Exogenous Constructs," Sociological Methods & Research, , vol. 24(2), pages 187-213, November.

    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. Tsonaka, R. & Moustaki, I., 2007. "Parameter constraints in generalized linear latent variable models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4164-4177, May.
    2. Albert Satorra, 1989. "Alternative test criteria in covariance structure analysis: A unified approach," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 131-151, March.
    3. Albert Satorra, 1992. "Multi-sample analysis of moment-structures: Asymptotic validity of inferences based on second-order moments," Economics Working Papers 16, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Hong-Tu Zhu & Sik-Yum Lee, 2001. "A Bayesian analysis of finite mixtures in the LISREL model," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 133-152, March.
    5. Albert Satorra, 1996. "Fusion of data sets in multivariate linear regression with errors-in-variables," Economics Working Papers 183, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Sik-Yum Lee & Sin-Yu Tsang, 1999. "Constrained maximum likelihood estimation of two-level covariance structure model via EM type algorithms," Psychometrika, Springer;The Psychometric Society, vol. 64(4), pages 435-450, December.
    7. P. M. Bentler & Chih-Ping Chou, 1987. "Practical Issues in Structural Modeling," Sociological Methods & Research, , vol. 16(1), pages 78-117, August.

    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:49:y:1984:i:1:p:37-47. 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.