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My area is applied statistics and psychometrics in education and
psychology, especially applications in development and psychopathology.
I am interested in correlation/regression methods for ordinal data based
on Kendall’s tau. Another area of interest is longitudinal data
analysis, especially measurement issues and applications of mixed
models.
I teach the introductory statistics sequence for Ph.D. students, which
emphasizes statistical programming using R (http://www.r-project.org/index.html
). The first course in the sequence, EPSY 8261, focuses on basic
statistical and graphical methods in R. The second course in the
sequence, EPSY 8262, focuses on the analysis of linear models using R.
I also teach a year-long sequence on the analysis of longitudinal data.
The first course (EPSY 8282) covers the linear mixed model for
continuous data, and the second course (Special Topics) covers marginal
and mixed models for discrete data.
Selected publications
Methods for Ordinal Data
Long, J. D. (2007). Ordinal level of measurement.
In N. J. Salkin (Ed.), Encyclopedia of Measurement & Statistics.
Newbury Park, CA: Sage.
Long, J. D. (2005). Omnibus hypothesis testing
in dominance-based ordinal multiple regression. Psychological
Methods, 10, 329-351.
Long, J. D. (1999). A confidence interval for
ordinal multiple regression weights. Psychological Methods,
4, 315-330.
Longitudinal Data Analysis
Long, J. D., Loeber, R., & Farrington,
D. (in press). Marginal and random intercepts models for
longitudinal binary data with examples from criminology.
Multivariate Behavioral Research.
Shin, T., Davison, M. L., & Long, J. D.
(in press). Effects of missing data methods in structural
equations modeling with nonnormal longitudinal data.
Structural Equation Modeling.
Long, J. D., Harring, J. H., Brekke, J.
S., Test M. A., & Greenberg, J. (2007). Longitudinal
construct validity of brief symptom inventory subscales in
schizophrenia. Psychological Assessment, 19,
298-308.
Additional publications and presentations
Updated October 2008
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