IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v51y1986i1p123-135.html
   My bibliography  Save this article

On scaling models applied to data from several groups

Author

Listed:
  • Clifford Clogg
  • Leo Goodman

Abstract

No abstract is available for this item.

Suggested Citation

  • Clifford Clogg & Leo Goodman, 1986. "On scaling models applied to data from several groups," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 123-135, March.
    • Handle: RePEc:spr:psycho:v:51:y:1986:i:1:p:123-135
    DOI: 10.1007/BF02294005
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294005
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294005?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. Ronald Owston, 1979. "A maximum likelihood approach to the “test of inclusion”," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 421-425, December.
    2. David Hays & Edgar Borgatta, 1954. "An empirical comparison of restricted and general latent distance analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(4), pages 271-279, December.
    3. C. Mitchell Dayton & George Macready, 1976. "A probabilistic model for validation of behavioral hierarchies," Psychometrika, Springer;The Psychometric Society, vol. 41(2), pages 189-204, June.
    4. Erling Andersen, 1980. "Comparing latent distributions," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 121-134, March.
    5. David Rindskopf, 1983. "A general framework for using latent class analysis to test hierarchical and nonhierarchical learning models," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 85-97, 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. George Macready & C. Mitchell Dayton, 1992. "The application of latent class models in adaptive testing," Psychometrika, Springer;The Psychometric Society, vol. 57(1), pages 71-88, March.
    2. repec:jss:jstsof:42:i10 is not listed on IDEAS
    3. James W. Shockey, 1988. "Adjusting for Response Error in Panel Surveys," Sociological Methods & Research, , vol. 17(1), pages 65-92, August.
    4. Michael Gillespie & Elisabeth Tenvergert & Johannes Kingma, 1988. "Using Mokken methods to develop robust cross-national scales: American and West German attitudes toward abortion," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 20(2), pages 181-203, April.
    5. Rolf Langeheine & Frank Van De Pol, 1990. "A Unifying Framework for Markov Modeling in Discrete Space and Discrete Time," Sociological Methods & Research, , vol. 18(4), pages 416-441, May.
    6. Paul S. Albert & Lisa M. McShane & Joanna H. Shih, 2001. "Latent Class Modeling Approaches for Assessing Diagnostic Error without a Gold Standard: With Applications to p53 Immunohistochemical Assays in Bladder Tumors," Biometrics, The International Biometric Society, vol. 57(2), pages 610-619, June.
    7. McCutcheon, A.L., 1993. "Multi-sample latent logit models with polytomous effects variables," WORC Paper 93.08.014/7, Tilburg University, Work and Organization Research Centre.
    8. Geoffrey Evans & Colin Mills, 1998. "Assessing the Cross-Sex Validity of the Goldthorpe Class Schema Using Log-linear Models with Latent Variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 32(3), pages 275-296, August.
    9. Anton K. Formann & Thomas Kohlmann, 1998. "Structural Latent Class Models," Sociological Methods & Research, , vol. 26(4), pages 530-565, May.

    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. David Rindskopf, 1983. "A general framework for using latent class analysis to test hierarchical and nonhierarchical learning models," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 85-97, March.
    2. Anton Formann, 1988. "Latent class models for nonmonotone dichotomous items," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 45-62, March.
    3. Yih-Ing Hser & Haikang Shen & Chih-Ping Chou & Stephen C. Messer & M. Douglas Anglin, 2001. "Analytic Approaches for Assessing Long-Term Treatment Effects," Evaluation Review, , vol. 25(2), pages 233-262, April.
    4. repec:jss:jstsof:37:i02 is not listed on IDEAS
    5. Lewis Price & C. Dayton & George Macready, 1980. "Discovery algorithms for hierarchical relations," Psychometrika, Springer;The Psychometric Society, vol. 45(4), pages 449-465, December.
    6. Hendrikus Kelderman, 1984. "Loglinear Rasch model tests," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 223-245, June.
    7. Rand Wilcox, 1983. "An approximation of theK outN reliability of a test, and a scoring procedure for determining which items an examinee knows," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 211-222, June.
    8. McCutcheon, A.L., 1993. "Multi-sample latent logit models with polytomous effects variables," WORC Paper 93.08.014/7, Tilburg University, Work and Organization Research Centre.
    9. Dean Follmann, 1988. "Consistent estimation in the rasch model based on nonparametric margins," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 553-562, December.
    10. Dereje W. Gudicha & Fetene B. Tekle & Jeroen K. Vermunt, 2016. "Power and Sample Size Computation for Wald Tests in Latent Class Models," Journal of Classification, Springer;The Classification Society, vol. 33(1), pages 30-51, April.
    11. Lin Ting Hsiang, 2006. "A comparison of model selection indices for nested latent class models," Monte Carlo Methods and Applications, De Gruyter, vol. 12(3), pages 239-259, October.
    12. Herbert Hoijtink & Anne Boomsma, 1996. "Statistical inference based on latent ability estimates," Psychometrika, Springer;The Psychometric Society, vol. 61(2), pages 313-330, June.
    13. Jacques A. Hagenaars, 1988. "Latent Structure Models with Direct Effects between Indicators," Sociological Methods & Research, , vol. 16(3), pages 379-405, February.
    14. Unlu, Ali & Albert, Dietrich, 2004. "The Correlational Agreement Coefficient CA(D)--a mathematical analysis of a descriptive goodness-of-fit measure," Mathematical Social Sciences, Elsevier, vol. 48(3), pages 281-314, November.

    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:51:y:1986:i:1:p:123-135. 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.