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Journal of the American Statistical Association Volume 89, 1994 - Issue 426
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Theory and Methods

Conditional Log-Linear Models for Analyzing Categorical Panel Data

Zvi Gilula Department of Statistics, Hebrew University, Jerusalem, 91905, Israel; Graduate School of Business, University of Chicago, IL, 60637
&
Shelby J. Haberman Department of Statistics, Northwestern University, Evanston, IL, 60208
Pages 645-656 | Received 01 Sep 1991, Published online: 27 Feb 2012

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Ann Cathrice George & Alexander Robitzsch. (2021) Validating theoretical assumptions about reading with cognitive diagnosis models. International Journal of Testing 21:2, pages 105-129.
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Maria Elena Oliveri & Matthias von Davier. (2014) Toward Increasing Fairness in Score Scale Calibrations Employed in International Large-Scale Assessments. International Journal of Testing 14:1, pages 1-21.
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Ronald Christensen. (2000) Linear and Log-Linear Models. Journal of the American Statistical Association 95:452, pages 1290-1293.
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MichaelR. Kosorok & Wei-Hsiung Chao. (1996) The Analysis of Longitudinal Ordinal Response Data in Continuous Time. Journal of the American Statistical Association 91:434, pages 807-817.
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Shelby J. Haberman. (2020) Statistical Theory and Assessment Practice. Journal of Educational Measurement 57:3, pages 374-385.
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Shelby J. Haberman, Yang Liu & Yi‐Hsuan Lee. (2019) Distractor Analysis for Multiple‐Choice Tests: An Empirical Study With International Language Assessment Data. ETS Research Report Series 2019:1, pages 1-16.
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Lale Khorramdel, Matthias von Davier & Artur Pokropek. (2019) Combining mixture distribution and multidimensional IRTree models for the measurement of extreme response styles. British Journal of Mathematical and Statistical Psychology 72:3, pages 538-559.
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Hyo Jeong Shin, Matthias von Davier & Kentaro Yamamoto. 2019. Theoretical and Practical Advances in Computer-based Educational Measurement. Theoretical and Practical Advances in Computer-based Educational Measurement 249 268 .
Matthias von Davier. 2019. Handbook of Diagnostic Classification Models. Handbook of Diagnostic Classification Models 133 153 .
Lale Khorramdel, Hyo Jeong Shin & Matthias von Davier. 2019. Handbook of Diagnostic Classification Models. Handbook of Diagnostic Classification Models 603 628 .
Zhuangzhuang Han & Matthew S. Johnson. 2019. Handbook of Diagnostic Classification Models. Handbook of Diagnostic Classification Models 265 285 .
Matthias von Davier. (2018) Automated Item Generation with Recurrent Neural Networks. Psychometrika 83:4, pages 847-857.
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Jiahe Qian. (2018) Modeling Growth With Adaptive Longitudinal Large‐Scale Assessments. ETS Research Report Series 2018:1, pages 1-21.
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Peter W. van Rijn, Sandip Sinharay, Shelby J. Haberman & Matthew S. Johnson. (2016) Assessment of fit of item response theory models used in large-scale educational survey assessments. Large-scale Assessments in Education 4:1.
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Matthias von Davier. (2016) High‐Performance Psychometrics: The Parallel‐E Parallel‐M Algorithm for Generalized Latent Variable Models. ETS Research Report Series 2016:2, pages 1-11.
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Shelby J. Haberman. 2015. International Encyclopedia of the Social & Behavioral Sciences. International Encyclopedia of the Social & Behavioral Sciences 125 130 .
Shelby J. Haberman. (2014) A GENERAL PROGRAM FOR ITEM‐RESPONSE ANALYSIS THAT EMPLOYS THE STABILIZED NEWTON–RAPHSON ALGORITHM. ETS Research Report Series 2013:2.
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Shelby J. Haberman & Sandip Sinharay. (2010) The Application of the Cumulative Logistic Regression Model to Automated Essay Scoring. Journal of Educational and Behavioral Statistics 35:5, pages 586-602.
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Shelby J. Haberman & Sandip Sinharay. (2014) HOW CAN MULTIDIMENSIONAL ITEM RESPONSE THEORY BE USED IN REPORTING OF SUBSCORES?. ETS Research Report Series 2010:1.
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P. Vellaisamy & V. Vijay. (2007) Log-linear modeling using conditional log-linear structures. Annals of the Institute of Statistical Mathematics 61:2, pages 309-329.
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Shelby J. Haberman, Matthias von Davier & Yi‐Hsuan Lee. (2014) COMPARISON OF MULTIDIMENSIONAL ITEM RESPONSE MODELS: MULTIVARIATE NORMAL ABILITY DISTRIBUTIONS VERSUS MULTIVARIATE POLYTOMOUS ABILITY DISTRIBUTIONS. ETS Research Report Series 2008:2.
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Shelby J. Haberman & Sandip Sinharay. (2014) SAMPLE‐SIZE REQUIREMENTS FOR AUTOMATED ESSAY SCORING. ETS Research Report Series 2008:1.
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Shelby J. Haberman. (2014) THE INFORMATION A TEST PROVIDES ON AN ABILITY PARAMETER. ETS Research Report Series 2007:1.
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Shelby J. Haberman. (2006) ADAPTIVE QUADRATURE FOR ITEM RESPONSE MODELS. ETS Research Report Series 2006:2, pages i-10.
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Shelby J. Haberman. (2014) AN ELEMENTARY TEST OF THE NORMAL 2PL MODEL AGAINST THE NORMAL 3PL ALTERNATIVE. ETS Research Report Series 2006:1.
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Tim P. Moses & Alina A. von Davier. (2014) A SAS MACRO FOR LOGLINEAR SMOOTHING: APPLICATIONS AND IMPLICATIONS. ETS Research Report Series 2006:1.
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Shelby J. Haberman. (2014) JOINT AND CONDITIONAL ESTIMATION FOR IMPLICIT MODELS FOR TESTS WITH POLYTOMOUS ITEM SCORES. ETS Research Report Series 2006:1.
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Shelby J. Haberman. (2005) LATENT-CLASS ITEM RESPONSE MODELS. ETS Research Report Series 2005:2, pages i-7.
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Shelby J. Haberman. (2014) JOINT AND CONDITIONAL MAXIMUM LIKELIHOOD ESTIMATION FOR THE RASCH MODEL FOR BINARY RESPONSES. ETS Research Report Series 2004:1.
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Geert Molenberghs & Geert Verbeke. 2004. Explanatory Item Response Models. Explanatory Item Response Models 111 153 .
MARCEL A. CROON, WICHER BERGSMA & JACQUES A. HAGENAARS. (2016) Analyzing Change in Categorical Variables by Generalized Log-Linear Models. Sociological Methods & Research 29:2, pages 195-229.
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Gerhard Arminger, Clifford C. Clogg & Tzuwei Cheng. (2008) 1. Regression Analysis of Multivariate Binary Response Variables Using Rasch-Type Models and Finite-Mixture Methods. Sociological Methodology 30:1, pages 1-26.
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Eric D. Nordmoe & Dipak C. Jain. (2000) Drawing inferences from logit models for panel data. Applied Stochastic Models in Business and Industry 16:2, pages 127-145.
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Michael E. Sobel. (2016) 6. Some Log-Linear and Log-Nonlinear Models for Ordinal Scales with Midpoints, with an Application to Public Opinion Data. Sociological Methodology 28:1, pages 263-292.
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. 1998. Visualization of Categorical Data. Visualization of Categorical Data 541 574 .
David R. Brillinger & Brent S. Stewart. 1997. Modelling Longitudinal and Spatially Correlated Data. Modelling Longitudinal and Spatially Correlated Data 275 288 .

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