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Latent Class Model Diagnosis from a Frequentist Point of View

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  • Anton K. Formann

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  • 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.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:1:p:189-196
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    File URL: http://hdl.handle.net/10.1111/1541-0420.00023
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    References listed on IDEAS

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    1. 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.
    2. Richard McHugh, 1958. "Note on “efficient estimation and local identification in latent class analysis”," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 273-274, September.
    3. Jan De Leeuw & Norman Verhelst, 1986. "Maximum Likelihood Estimation in Generalized Rasch Models," Journal of Educational and Behavioral Statistics, , vol. 11(3), pages 183-196, September.
    4. Anton K. Formann & Thomas Kohlmann, 1998. "Structural Latent Class Models," Sociological Methods & Research, , vol. 26(4), pages 530-565, May.
    5. Richard McHugh, 1956. "Efficient estimation and local identification in latent class analysis," Psychometrika, Springer;The Psychometric Society, vol. 21(4), pages 331-347, December.
    6. C. Proctor, 1970. "A probabilistic formulation and statistical analysis of guttman scaling," Psychometrika, Springer;The Psychometric Society, vol. 35(1), pages 73-78, March.
    7. Elizabeth S. Garrett & Scott L. Zeger, 2000. "Latent Class Model Diagnosis," Biometrics, The International Biometric Society, vol. 56(4), pages 1055-1067, December.
    8. Anders Christoffersson, 1975. "Factor analysis of dichotomized variables," Psychometrika, Springer;The Psychometric Society, vol. 40(1), pages 5-32, March.
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    Cited by:

    1. Baffour Bernard & Brown James J. & Smith Peter W.F., 2021. "Latent Class Analysis for Estimating an Unknown Population Size – with Application to Censuses," Journal of Official Statistics, Sciendo, vol. 37(3), pages 673-697, September.
    2. Aurélie Bertrand & Christian Hafner, 2014. "On heterogeneous latent class models with applications to the analysis of rating scores," Computational Statistics, Springer, vol. 29(1), pages 307-330, February.
    3. Bertrand, Aurélie & Hafner, Christian M., 2011. "On heterogeneous latent class models with applications to the analysis of rating scores," SFB 649 Discussion Papers 2011-062, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Patrício Soares Costa & Nadine Correia Santos & Pedro Cunha & Joana Almeida Palha & Nuno Sousa, 2013. "The Use of Bayesian Latent Class Cluster Models to Classify Patterns of Cognitive Performance in Healthy Ageing," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    5. van Wieringen, Wessel N., 2005. "On identifiability of certain latent class models," Statistics & Probability Letters, Elsevier, vol. 75(3), pages 211-218, December.
    6. Formann, Anton K., 2007. "Mixture analysis of multivariate categorical data with covariates and missing entries," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5236-5246, July.

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