About me:
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| 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. |
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Education |
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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
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Research
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Currently most of my
research concerns ordinal variables and random utility models
for categorical data. More broadly I am interested in categorical data,
latent variable models, measurement error models, simulation-based
computations for inference, and Bayesian statistics. I sometimes
collaborate in research in judgment and decision making.
Recent representative publications:
- Johnson, T. R. & Bolt, D. M.
(forthcoming). 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.
- Bolt, D. M. & Johnson, T. R. (forthcoming).
Applications of a MIRT model to self-report measures: Addressing score
bias and DIF due to individual differences in response style. Applied Psychological Measurement.
- Johnson, T. R. (forthcoming). Discrete choice models for ordinal response variables: A generalization of the stereotype model. Psychometrika.
- Johnson, T. R. & Bodner, T. E. (2007). A note on the use of bootstrap tetrad tests for covariance structures. Structural Equation Modeling, 14, 113-124.
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Johnson, T. R. (2006). Generalized linear models with ordinally-observed covariates. British Journal of Mathematical and Statistical Psychology, 59, 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.
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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.
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Teaching |
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| I regularly teach Statistics 251 (Statistical Methods)
-- a pre-calculus level introductory statistics class. I also teach
graduate courses in regression (Statistics 550) and computer intensive
methods (Statistics 565).
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