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My research interests are defined by three lines of work.
One focuses on the application of nonparametric statistics
to data from complex research designs, and typically
involves the use of computer simulation studies to examine
the robustness of statistical estimators and tests. A
second line of research examines the role and impact of
theoretical models of socioeconomic status (SES) and related
measurement strategies in educational data analyses.
This work began with the observation that educational
researchers often include one or more measures of SES as
control variables when modeling educational outcomes but
fail to provide a conceptual model of SES or a compelling
rationale for the selection of particular SES measures.
Currently I am studying several conceptual, methodological,
and empirical issues surrounding the use of student
eligibility for a free or reduced price lunch as a measure
of SES in educational research and as a trigger for Title I
funds for a school. A third line of research is based
on work on two National Science Foundation-funded grants
studying the impact of students completing a particular high
school mathematics curriculum on high school and college
course-taking and performance especially in mathematics.
An important purpose of this work is to contribute research
findings to debates over the efficacy of high school
mathematics curricula that have pitted advocates of
traditional curricula emphasizing repetition and
teacher-centered learning against advocates of newer
curricula that encourage problem solving and small group
work.
Courses I teach
(all EPSY courses))
EPSY 8215—Advanced
Research Methodologies in Education EPSY 8261—Statistical
Methods I: Probability and Inference
EPSY 8262—Statistical Methods II: Regression and the General
Linear Model EPSY 8268—Hierarchical
Linear Modeling in Educational Research EPSY
8272—Nonparametric Statistics in Educational Research
Selected publications
Harwell, M.R., Post. T.P., Cutler, A., Maeda,
Y., Anderson, E., Norman, K.W., & Medhanie, A. The preparation of
students from National Science Foundation-funded and commercially
developed high school mathematics curricula for their first
university mathematics course. (American Educational Research
Journal, in press).
Harwell, M.R., & Maeda, Y. (2008).
Reporting deficiencies in meta-analyses and some remedies.
Journal of Experimental Education, 76, 403-428.
Harwell, M.R., Post, T.P., Maeda, Y., Davis,
J.D., Cutler, A., Anderson, E., & Kahan, J.A. (2007).
Standards-based mathematics curricula and secondary students’
performance on standardized achievement tests. Journal of Research
in Mathematics Education, 38, 71-101.
Peng, C.Y., Harwell, M., Liou, S.M., & Ehman,
L.H. (2006). Advances in missing data methods and implications for
educational research. In Real Data Analysis (S.S. Sawilowsky, Ed.),
pp. 31-78. Charlotte, NC: New Information Age Publishing.
Revised March 2009
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