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  • Anderson, C.J. (2002). Analysis of multivariate frequency data by graphical regression models and generalizations of the multidimensional row-column association model.Psychological Methods, 7, 446-467. Link to LEM files


  • Kroonenberg, P.K., & Anderson, C.J. (2006). Additive and multiplicative models for three-way contingency tables. Darroch (1974) revisited. In M. Greenacre & J. Blasuis (Eds.) Multiple Correspondence Analysis and Related Methods Link to LEM files
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  • Tettegah, S, & Anderson, C.J. (2007). Pre-service teacher's empathy and cognitions: Statistical analysis of text data by graphical models.Contemporary Educational Psychology. 32, 48-82. Link to LEM and SAS input files & R-code for graphics.


  • Anderson, C.J. & Yu, H.T. (2007). Log-multiplicative association models as item reponse models. Psychometrika, 72, 5-23. DOI: 10.1007/s11336-005-1419-2. LEM (input/out) and SAS (input) files.


  • Anderson, C.J., Li, Z.. & Vermunt, J.K. (2007). Estimation of Models in a Rasch family for Polytomous Items and Multiple Latent Variables. Manuscript for Journal of Statistical Software. Link to R Package, SAS MACRO, and examples.


  • de Rooij, M. & Anderson, C.J. (2007). Visualizing, summarizing and comparing odds ratio structures. Methodology. Link to SAS and MATLAB input files.


  • Anderson, C.J. & Rutkowski, L. (2008). Multinomial logistic regression models. In J. Osbone (ed). Best Practices in Quantitative Methods. Thousand Oaks, CA: Sage. Link to data and SAS input files.


  • Anderson, C.J. (2010). Categorical data analysis with a psychometric twist. In R. E. Millsap & A. Maydeu-Olivares (Eds.), Handbook of quantitative methods in psychology. Thousand Oaks: Sage Link to SAS, R, and lEM input files.


  • Anderson, C.J, Verkuilen, J. & Peyton, B.L. (2010). Modeling polytomous responses using simultaneously estimated multinomial logistic regressions. Journal of Educational and Behavioral Statistics Link to SAS code for models, and R scripts for graphics.


  • Anderson, C.J. Advances in Models for Multivariate Nominal or Ordinal Variables with Latent Variables. Presented at the International Meeting of the Psychometric Society, Athens, GA, June 2010. Link to SAS code and data for models reported and a few extra ones.


  • Wilson, T., Perry, M, Anderson, C.J., & Grosshandler, D. (2010). Engaging young students in scientific investigations: Prompting for meaningful refelctions. Instructional Science. DOI: 10.1007/s11251-011-9168-3. SAS and LEM for log-multiplicative association models (to be posted soon)


  • Anderson, C.J. (2013). Multidimensional item response theory models with collateral information as Poisson regression models. Journal of Classification Link to SAS code and data for log-linear and log-multiplicative association models, and LEM for MMLE of IRT models.


  • Anderson, C.J., Kim, J.S., & Keller, B (2014). Multilevel Modeling of Categorical Response Variables. In L. Rutkowski, M. von Davier & D. Rutkowski (Eds) A Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis.. Link to data, SAS, and Mplus for models repored in the chapter and a few extra ones.


  • Kim, J.S., Anderson, C.J., & Keller, B. (2014). Multilevel Modeling In L. Rutkowski, M. von Davier & D. Rutkowski (Eds) A Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis.. Link to data, SAS, and Mplus for models repored in the chapter and a few extra ones.


  • Anderson, C.J., & Yu, H.T. (under review & imps presentation 2016). Slides for Properties of multinomial models as multidimensional item response models. Link to (compressed) files needed to reproduce results. (SAS, R, flexMIRT)

  • Paek, Y & Anderson (slides and paper in preparation.). Pseudo-likelihood estimaton of multidimensional response models: Polytomous and Dichotomous Items. 2016 International Meeting of the Psychometric Society. July 2016, Ashville, NC. Link to SAS Macros and example programs. (SAS, csv, xlsx).





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    Last revised Match 2019