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An estimating equations approach for the LISCOMP model

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  • Beth Reboussin
  • Kung-Yee Liang

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  • Beth Reboussin & Kung-Yee Liang, 1998. "An estimating equations approach for the LISCOMP model," Psychometrika, Springer;The Psychometric Society, vol. 63(2), pages 165-182, June.
    • Handle: RePEc:spr:psycho:v:63:y:1998:i:2:p:165-182
    DOI: 10.1007/BF02294773
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    References listed on IDEAS

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    1. Bengt Muthén, 1978. "Contributions to factor analysis of dichotomous variables," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 551-560, December.
    2. Sik-Yum Lee & Wai-Yin Poon & P. Bentler, 1990. "A three-stage estimation procedure for structural equation models with polytomous variables," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 45-51, March.
    3. Karl Jöreskog, 1994. "On the estimation of polychoric correlations and their asymptotic covariance matrix," Psychometrika, Springer;The Psychometric Society, vol. 59(3), pages 381-389, September.
    4. Anders Christoffersson, 1975. "Factor analysis of dichotomized variables," Psychometrika, Springer;The Psychometric Society, vol. 40(1), pages 5-32, March.
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    Citations

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    Cited by:

    1. D. Gunzler & W. Tang & N. Lu & P. Wu & X. Tu, 2014. "A Class of Distribution-Free Models for Longitudinal Mediation Analysis," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 543-568, October.
    2. Sik-Yum Lee & Liang Xu, 2003. "Case-Deletion Diagnostics for Factor Analysis Models With Continuous and Ordinal Categorical Data," Sociological Methods & Research, , vol. 31(3), pages 389-419, February.
    3. Martin Spieß, 2006. "Estimation of a Two-Equation Panel Model with Mixed Continuous and Ordered Categorical Outcomes and Missing Data," Discussion Papers 010, Europa-Universität Flensburg, International Institute of Management.
    4. N. Lu & T. Chen & P. Wu & D. Gunzler & H. Zhang & H. He & X.M. Tu, 2014. "Functional response models for intraclass correlation coefficients," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(11), pages 2539-2556, November.
    5. Xin-Yuan Song & Sik-Yum Lee, 2002. "Analysis of structural equation model with ignorable missing continuous and polytomous data," Psychometrika, Springer;The Psychometric Society, vol. 67(2), pages 261-288, June.
    6. Martin Spieß, 2006. "On the Returns to Occupational Qualification in Terms of Subjective and Objective Variables: A GEE-type Approach to the Estimation of Two-Equation Panel Models," Discussion Papers of DIW Berlin 564, DIW Berlin, German Institute for Economic Research.
    7. Maydeu Olivares, Alberto & Hernández Estrada, Adolfo, 2000. "Some remarks on estimating a covariance structure model from a sample correlation matrix," DES - Working Papers. Statistics and Econometrics. WS 10009, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Markus Pannenberg & Martin Spieß, 2007. "GEE Estimation of a Two-Equation Panel Data Model: An Analysis of Wage Dynamics and the Incidence of Profit-Sharing in West Germany," Discussion Papers of DIW Berlin 663, DIW Berlin, German Institute for Economic Research.
    9. Lee, Sik-Yum & Song, Xin-Yuan, 2003. "Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 125-142, October.
    10. Sik-Yum Lee & Jian-Qing Shi, 2001. "Maximum Likelihood Estimation of Two-Level Latent Variable Models with Mixed Continuous and Polytomous Data," Biometrics, The International Biometric Society, vol. 57(3), pages 787-794, September.
    11. Albert Maydeu-Olivares, 2001. "Limited information estimation and testing of Thurstonian models for paired comparison data under multiple judgment sampling," Psychometrika, Springer;The Psychometric Society, vol. 66(2), pages 209-227, June.
    12. Thomas R. Ten Have & Beth A. Reboussin & Michael E. Miller & Allen Kunselman, 2002. "Mixed Effects Logistic Regression Models for Multiple Longitudinal Binary Functional Limitation Responses with Informative Drop-Out and Confounding by Baseline Outcomes," Biometrics, The International Biometric Society, vol. 58(1), pages 137-144, March.

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