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I have two main areas of interest, ordinal data analysis and
longitudinal data analysis. My work in ordinal methods concentrates on
bivariate and multivariate regression based on dominance scores (see
Long, 1999, 2005; Long, Feng, & Cliff, 2003). My work with longitudinal
methods focuses on application, especially the use of linear mixed
models in developmental psychology and education (see Long & Pellegrini,
2003; Webb, Long, & Nelson, 2005).
I collaborate on a number of projects mainly through my role as
statistical advisor for the Center
for Neurobehavioral Development,
Project Competence,
and the Center for Research in Progress
Monitoring.
In addition to being a faculty member in quantitative methods in
education (QME), I am a faculty member in the Minnesota Interdisciplinary Training
in Education Research (MITER) program. The MITER program is a
pre-doctoral research program that focuses on experimental research
methodology and cognitive science as applied to educational issues.
Students interested in full-time Ph.D. study and the application of
interdisciplinary research to problems in education may be interested in
MITER. Students interested in studying statistics and/or measurement in
education and psychology may be interested in QME.
The courses I teach are EPSY 8261—Statistical Methods I: Probability and
Inference, EPSY 8262—Statistical Methods II: Regression and the General
Linear Model, and EPSY 8282—Statistical Analysis of Longitudinal Data.
Selected publications
Long, J. D. (2005). Omnibus hypothesis testing in
dominance-based ordinal multiple regression. Psychological
Methods, 10, 329-351.
Webb, S. J., Long, J. D., & Nelson, C. A.
(2005). The longitudinal development of visual event-related
potentials across the first year of life. Developmental Science,
8, 605-616.
Long, J. D., & Pellegrini, A. D. (2003).
Studying change in dominance and bullying with linear mixed models.
School Psychology Review, 32, 401-417.
Long, J. D., Feng, D., & Cliff, N., (2003).
Ordinal analysis of behavioral data. In J. Schinka & W. F. Velicer
(Eds.), Research Methods in Psychology. Volume 2 of Handbook of
Psychology (I. B. Weiner, Editor-in-Chief). New York: John Wiley
& Sons.
Long, J. D. (1999). A confidence interval for
ordinal multiple regression weights. Psychological Methods, 4,
315-330.
Additional publications and presentations
Updated October 2005
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