J. Kyle Roberts
Ph.D., Texas A&M University
3101 University Blvd, Ste.306,
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Dr. Roberts earned his Ph.D. in Educational Psychology from Texas A&M University. Dr.
Roberts is well versed in teaching quantitative methods courses to novice
learners and has previously taught courses on database management, advanced
research design, and basic statistics. Further, Dr. Roberts has conducted
numerous training sessions on multilevel analysis at annual meetings of the
American Psychological Association, the American Educational Research
Association, and the Southwest Educational Research Association. He has
authored two book chapters on the multilevel analysis, continues to write
articles on multilevel analysis, and has a contract for a book due in 2008
entitled “The Handbook of Multilevel Analysis” (Hox & Roberts, Taylor and
Francis). Dr. Roberts has extensive experience in performing analysis with
value-added models in work done with the Houston Independent School District
in evaluating the Houston Urban Systemic Initiative grant from the National
Science Foundation (HU-LINC).
Dr. Roberts was an assistant professor at Baylor College of Medicine (BMC)
before joining the SMU faculty in 2007. During his tenure at BCM, he was the
assistant director for research in the Center for Education Outreach and was the
research coordinator on several grants from the National Institutes of Health,
the National Science Foundation, the Howard Hughes Medical Institute, the
National Space Biomedical Research Institute, and the U.S. Department of
Roberts, J. K. & McLeod, P. (2007). Software
options for multilevel models. In A. O’Connell & B. McCoach (Eds.),
Multilevel Analysis of Educational Data.
Greenwich, CT: Information Age Publications.
Roberts, J. K. & Herrington, R. (2007).
Demonstration of software programs for estimating multilevel measurement model
parameters. In E. V. Smith & R. M. Smith (Eds.),
Rasch and Multilevel Measurement Models.
Maple Grove, MN: JAM Press
Henson, R. K. & Roberts, J. K. (2006).
Exploratory factor analysis reporting practices in published psychological
research: Common errors and some comment on improved practice.
Educational and Psychological Measurement, 66(3),
Moreno, N. P., Roberts, J. K., Tharp, B. Z., Denk,
J. P., Cutler, P. H., Thomson, W. A. (2005). Increasing student learning
through space life sciences education. Acta
Roberts, J. K. & Herrington, R. (2005).
Demonstration of Software Programs for Estimating
Multilevel Measurement Model Parameters. Journal of Applied Measurement, 6(3),
Onwuegbuzie, A. J., Roberts, J. K., & Daniel, L.
G. (2005). A proposed new what if reliability analysis for assessing the
statistical significance of bivariate relationships.
Measurement and Evaluation in Counseling and
Development, 37(4), 228-239.
Moreno, N. P., Denk, J. P., Roberts, J. K., Tharp,
B. Z., Bost, M., Thomson, W. A. (2004). A measure of knowledge and
misconceptions regarding food and fitness among students in grades 3-7.
Cell Biology Education,
Roberts, J. K. & Fan, X. (2004). Bootstrapping
within the multilevel/hierarchical linear modeling framework: A primer for use
with SAS and S-PLUS. Multiple Linear
Regression Viewpoints, 30 (1),
Roberts, J. K. (2004). An introductory primer on
multilevel and hierarchical linear modeling.
Learning Disabilities: A Contemporary Journal,
Roberts, J. K. & Henson, R. K. (2003).
Not all effects are created equal: A rejoinder to Sawilowsky.
Journal of Modern Applied Statistical Methods,
Roberts, J. K. & Onwuegbuzie, A. J. (2003).
Alternative approaches for interpreting alpha with homogeneous subsamples.
Research in the Schools, 10, 63-69.
Roberts, J. K. (2002). The importance of the
intraclass correlation in multilevel and hierarchical linear modeling designs.
Multiple Linear Regression Viewpoints, 28
Roberts, J. K. & Henson, R. K. (2002).
Correction for bias in estimating effect sizes. Educational and Psychological
Measurement, 62(2), 241-253.
Smith, Q. W., Holcomb, J. D., Galvin, J., DeJong,
G., DeLisa, J. & Roberts, J. K. (2001). The effect of changes in the health
care environment on rehabilitation research: A survey of rehabilitation
physicians. Archives of Physical Medicine
and Rehabilitation, 82 (11), 1624-1629.
Smith, Q. W., Holcomb, J. D., Galvin, J. &
Roberts, J. K. (2001). The effect of changes in the U.S. health care system on
rehabilitation research: The results of a survey of rehabilitation health
professionals. Journal of Allied Health, 20(4),
Moreno, N. P., Chang, K., Tharp, B. Z., Denk, J.
P., Roberts, J. K., Cutler, P., & Rahmati, S. (2001). Teaming up with
scientists: A two-year teacher-scientist partnership benefits all involved,
especially students. Science and Children, 39 (1), pp. 42-45.
Roberts, J. K., Henson, R. K., Tharp, B. Z., &
Moreno, N. P. (2001). An examination of change in teacher self-efficacy beliefs
in science education based on the duration of inservice activities.
Journal of Science Teacher Education, 12(3),
Roberts, J. K. (1999). Canonical redundancy (Rd)
coefficients: They should (almost never) be computed and interpreted. In B.
Thompson (Ed), Advances in Social Science
Methodology (Vol. 5) (pp. 333-341). Stanford, CT: JAI Press.