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Gordon Brooks

Associate Professor
Educational Studies
McCracken Hall 314 C
brooksg@ohio.edu
740.593.0880

Dr. Gordon Brooks received the B.A. in Computer Science and Economics from the College of William and Mary. He holds the M.A. in Interpersonal and Organizational Communication from Ohio University and the Ph.D. in Educational Research and Evaluation from Ohio University. Dr. Brooks teaches courses in the Educational Research and Evaluation program. His scholarship examines statistical techniques as well as the teaching of statistics, and he also develops software programs that help instructors explain statistical concepts.


Most Recent Publications: 

Li, Y., Brooks, G. P., & Johanson, G. A. (2012). Item discrimination and Type I error in the detection of differential item functioning. Educational and Psychological Measurement, 72, 847-861. doi:10.1177/0013164411432333


Brooks, G. P., & Johanson, G. A. (2011). Sample size considerations for multiple comparison procedures in ANOVA. Journal of Modern Applied Statistical Methods, 10(1), 97-109.


Adusah, A., & Brooks, G. P. (2011). Type I error inflation of the separate-variances Welch t test with very small sample sizes when assumptions are met. Journal of Modern Applied Statistical Methods, 10(1), 362-372.


Brooks, G. P. (2011). Qualitative experimentation, local generalizability, and other oxymoronic opportunities for educated researchers. Mid-Western Educational Researcher, 24(4), 10-20.


Johanson, G. A., & Brooks, G. P. (2010). Initial scale development: Sample size for pilot studies. Educational and Psychological Measurement, 70, 394-400. doi:10.1177/0013164409355692


Fang, H., Brooks, G. P., Rizzo, M. L., Espy, K. A., & Barcikowski, R. S. (2009). Power of models in longitudinal study: Findings from a full-crossed simulation design. Journal of Experimental Education, 77, 215-254. doi:10.3200/JEXE.77.3.215-254


Fang, H., Brooks, G. P., Rizzo, M. L., Espy, K. A., & Barcikowski, R. S. (2008). A Monte Carlo power analysis of traditional repeated measures and hierarchical multivariate linear models in longitudinal data analysis. Journal of Modern Applied Statistical Methods, 7(1), 101-119


Brooks, G. P. (2008). A Monte Carlo program for multiple linear regression.Multiple Linear Regression Viewpoints, 34(2), 15-43. Retrieved from http://www.mlrv.ua.edu/ejournal.html


Johanson, G. A., & Brooks, G. P. (2008). Differential person functioning applied to baseball. Perceptual and Motor Skills, 107, 791-799. doi: 10.2466/pms.107.3.791-799


Brooks, G. P. (2008). Using SPSS for introductory statistical analyses. In B. T. Erford, (Ed.). Research and Evaluation in Counseling (pp. 240-291). Boston: Lahaska Houghton Mifflin.


Kanyongo, G. Y., Brooks, G. P., Blankson, L. K., & Gocmen, G. (2007). Reliability and statistical power: How measurement fallibility affects power and required sample sizes for several parametric and nonparametric statistics. Journal of Modern Applied Statistical Methods(1), 81-90.


Freeman, M. L., Conley, V. M., & Brooks, G. P. (2006). Successful vertical transitions: What separates community college transfers who earn the baccalaureate from those who don't? Journal of Applied Researched on the Community College, 13, 141-150.


Fang, H., Brooks, G. P., Rizzo, M. L. & Barcikowski, R. S. (2006). An empirical power analysis of multilevel linear model under three covariance structures in longitudinal data analysis. 2006 Proceedings of the American Statistical Association, Section on Quality and Productivity [CD-ROM]. Alexandria, VA: American Statistical Association.


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