Along
with work on psychological scaling, multivariate statistical
methods, analysis of qualitative data, behavior genetics,
and modeling of human growth in stature, Professor Bock
has published widely in the fields of statistics, tests
and measurement, and human biology. His introduction of
maximum marginal likelihood and Bayes methods in item response
theory (IRT), with their related computational algorithms,
opened the way to practical use of advanced measurement
models. Among them are his models for multiple nominal response
categories, multiple dimensional item sets, and multiple-group
IRT applications.
Professor Bock has served on the Technical
Advisory Committee of the California Assessment Program,
the Analysis Advisory Committee of the National Assessment
of Educational Progress (NAEP), and the NAEP Validity Panel.
He is former chairman of the Committee on Research Methodology
and Quantitative Psychology, Department of Psychology, University
of Chicago, and is a past president of the Psychometric
Society, Fellow of the American Statistical Association,
Fellow of the Royal Statistical Society, and a Research
Director of the National Opinion Research Center at the
University of Chicago. He has received awards for contributions
to measurement from the National Council on Measurement
in Education, Educational Testing Service, and the American
Psychological Association. |
