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A probabilistic formulation and statistical analysis of guttman scaling

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  • C. Proctor

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  • C. Proctor, 1970. "A probabilistic formulation and statistical analysis of guttman scaling," Psychometrika, Springer;The Psychometric Society, vol. 35(1), pages 73-78, March.
    • Handle: RePEc:spr:psycho:v:35:y:1970:i:1:p:73-78
    DOI: 10.1007/BF02290594
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    Cited by:

    1. 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.
    2. 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.
    3. repec:jss:jstsof:37:i02 is not listed on IDEAS
    4. Anton Formann, 1988. "Latent class models for nonmonotone dichotomous items," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 45-62, March.
    5. 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.
    6. 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.
    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. Anton K. Formann & Thomas Kohlmann, 1998. "Structural Latent Class Models," Sociological Methods & Research, , vol. 26(4), pages 530-565, May.
    9. 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.

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