IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v53y1988i1p45-62.html
   My bibliography  Save this article

Latent class models for nonmonotone dichotomous items

Author

Listed:
  • Anton Formann

Abstract

No abstract is available for this item.

Suggested Citation

  • Anton Formann, 1988. "Latent class models for nonmonotone dichotomous items," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 45-62, March.
  • Handle: RePEc:spr:psycho:v:53:y:1988:i:1:p:45-62
    DOI: 10.1007/BF02294193
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294193
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02294193?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. 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.
    2. C. Proctor, 1970. "A probabilistic formulation and statistical analysis of guttman scaling," Psychometrika, Springer;The Psychometric Society, vol. 35(1), pages 73-78, March.
    3. 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. G. Van Den Wittenboer & J. Hox & E. De Leeuw, 2000. "Latent Class Analysis of Respondent Scalability," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(2), pages 177-191, May.
    2. Warrens, Matthijs J. & Heiser, Willem J., 2009. "Diagnostics for regression dependence in tables re-ordered by the dominant correspondence analysis solution," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3139-3144, June.
    3. Theo Eggen & Norman Verhelst, 2006. "Loss of Information in Estimating Item Parameters in Incomplete Designs," Psychometrika, Springer;The Psychometric Society, vol. 71(2), pages 303-322, June.
    4. Iwin Leenen & Iven Mechelen, 2004. "A conjunctive parallelogram model for pick any/n data," Psychometrika, Springer;The Psychometric Society, vol. 69(3), pages 401-420, 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. 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.
    2. repec:jss:jstsof:37:i02 is not listed on IDEAS
    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. 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.
    5. Leonard J. Paas & Jeroen K. Vermunt & Tammo H. A. Bijmolt, 2007. "Discrete time, discrete state latent Markov modelling for assessing and predicting household acquisitions of financial products," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 955-974, October.
    6. 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.
    7. C. Dayton & George Macready, 1980. "A scaling model with response errors and intrinsically unscalable respondents," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 343-356, September.
    8. Lewis Price & C. Dayton & George Macready, 1980. "Discovery algorithms for hierarchical relations," Psychometrika, Springer;The Psychometric Society, vol. 45(4), pages 449-465, December.
    9. Steven Andrew Culpepper, 2019. "An Exploratory Diagnostic Model for Ordinal Responses with Binary Attributes: Identifiability and Estimation," Psychometrika, Springer;The Psychometric Society, vol. 84(4), pages 921-940, December.
    10. 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.
    11. Jacques A. Hagenaars, 1988. "Latent Structure Models with Direct Effects between Indicators," Sociological Methods & Research, , vol. 16(3), pages 379-405, February.
    12. 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.
    13. 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.
    14. Paas, L.J. & Vermunt, J.K. & Bijmolt, T.H.A., 2007. "Discrete-time discrete-state latent Markov modelling for assessing and predicting household acquisitions of financial products," Other publications TiSEM 5781ab33-6687-4ad5-b57a-3, Tilburg University, School of Economics and Management.
    15. G. Van Den Wittenboer & J. Hox & E. De Leeuw, 2000. "Latent Class Analysis of Respondent Scalability," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(2), pages 177-191, May.
    16. 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.
    17. Anton K. Formann, 2003. "Latent Class Model Diagnosis from a Frequentist Point of View," Biometrics, The International Biometric Society, vol. 59(1), pages 189-196, March.
    18. Anton K. Formann & Thomas Kohlmann, 1998. "Structural Latent Class Models," Sociological Methods & Research, , vol. 26(4), pages 530-565, May.

    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:53:y:1988:i:1:p:45-62. 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.