Timothy R. Johnson, Ph.D.
Associate Professor of Statistics

About me:
I am an Associate Professor of Statistics and a member of the faculty of the Department of Statistics at the University of Idaho. I am also an Affiliate Professor of Psychology. 

  Contact Info

417 Brink Hall
Dept. of Statistics
College of Science
University of Idaho
Moscow, Idaho
83844-1104 (USA)

voice: 208.885.2928
fax:  208.885.7959


Curriculum Vitae (PDF)


My formal education is in quantitative psychology (i.e., behavioral statistics, psychometrics, & mathematical psychology), applied and theoretical statistics, and experimental psychology.

Ph.D. Quantitative Psychology, 2001, University of Illinois at Urbana-Champaign
M.S. Statistics, 1999, University of Illinois at Urbana-Champaign
M.S. Psychology, 1994, Western Washington University
B.A. Psychology, 1993, Western Washington University


Currently most of my research concerns ordinal response variables, individual differences in response style, item response theory, missing data due to coarsening or aggregation, and semi-parametric estimation.

Representative publications:
  • Johnson, T. R. (in press). Item response modeling with sum scores. Applied Psychological Measurement.
  • Johnson, T. R. & Bodner, T. E. (in press) Posterior predictive checks of tetrad subsets for covariance structures of measurement models. Psychological Methods.
  • Johnson, T. R. & Kuhn, K. M. (in press). Bayesian Thurstonian models for ranking data using JAGS. Behavioral Research Methods.
  • Budescu, D. V. & Johnson, T. R. (2011). A model-based approach for the analysis of the calibration of probability judgments. Judgment and Decision Making, 6, 857-869.
  • Johnson, T. R. & Bolt, D. M. (2010). On the use of factor-analytic multinomial logit item response models to account for individual differences in response style. Journal of Educational and Behavioral Statistics, 35, 92-104.
  • Bolt, D. M. & Johnson, T. R. (2009). Applications of a MIRT model to self-report measures: Addressing score bias and DIF due to individual differences in response style. Applied Psychological Measurement, 33, 335-352.
  • Johnson, T. R. (2007). Discrete choice models for ordinal response variables: A generalization of the stereotype model. Psychometrika, 72, 489--504.
  • Johnson, T. R. & Bodner, T. E. (2007).  A note on the use of bootstrap tetrad tests for covariance structures. Structural Equation Modeling14, 113-124.
  • Johnson, T. R. (2006). Generalized linear models with ordinally-observed covariates. British Journal of Mathematical and Statistical Psychology59, 275-300.
  • Johnson, T. R. & Kim, J. (2004). A generalized estimating equations approach to mixed-effects ordinal probit models. British Journal of Mathematical and Statistical Psychology, 57, 295--310.
  • Johnson, T. R. (2003). On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style. Psychometrika, 68, 563--583.


Lately I regularly teach Statistical Methods (Statistics 251) -- a pre-calculus level introductory statistics class. I also teach Applied Regression Modeling (Statistics 516). 

Copyright 2004, Adam Particka. All Rights Reserved.