EPS 702: General Linear Models (every semester) Syllabus

EPS 704: Computer Applications in Educational and Behavioral Science - R Programming (as needed) Syllabus

EPS 705: Measurement and Psychometric Theory (every fall) Syllabus

EPS 706: Categorical Data Analysis (every other Spring) Syllabus

EPS 707: Item Response Theory (every other Spring) Syllabus


Location: Max Orovitz Building 304-A
Phone: 305-284-5102

I am an Asssistant Professor in the Research, Measurement, and Evaluation Program in the Department of Educational and Psychological Studies at the University of Miami specializing in educational measurement and statistics. I joined the EPS faculty at the University of Miami in 2013. Prior to joining the EPS faculty, I received my Ph.D. in Quantitative Methods in Education program in the Department of Educational Psychology at the University of Minnesota. I was a math teacher in a middle school in Turkey and moved to the U.S. in 2007 for graduate study in educational measurement. I held research positions with the Quantitative Methods in Education program and Office of Research and Consultation Services at the University of Minnesota, and also had the privilege of doing psychometric research at the Minneapolis Public Schools in Minnesota and ACT, Inc. in Iowa. My research interests can be summarized in three primary areas: item response theory, test score integrity, and nonlinear mixed-effects models. In item response theory, one of my research interests is dimensionality assessment of item response data. In addition, I am interested in item parameter estimation of several unidimensional and multidimensional IRT models, particularly for the Samejima’s IRT model for continuous measurement outcomes. As a second area of research, I am studying the sensitivity and robustness of statistical methods proposed in the literature for detecting potential test fraud, as well as working on developing new methods (e.g. artificial neural networks) in this area. I am also collaborating with colleagues in order to develop software routines for estimating the parameters of nonlinear mixed-effects mixture models and to study the robustness of model parameter estimation with different estimation schemes.In the RME program at the University of Miami, I teach courses on educational measurement and psychometric theory and serve as a statistical consultant for the Research Methodology Services component of the Dunspaugh-Dalton Community and Educational Well-Being (CEW) Research Center at the University of Miami.


Zopluoglu, C. (in press). Evaluating the Sampling Performance of Exploratory and Cross-Validated DETECT Procedure with Imperfect Models. Multivariate Behavioral Research.

Kohli, N., Harring J.R., & Zopluoglu, C. (2015). A Finite Mixture of Nonlinear Random Coefficient Models for Continuous Repeated Measures Data. Psychometrika.

Zopluoglu, C., Harring J.R., & Kohli, N. (2014). FitPMM: An R Routine to Fit Finite Mixture of Piecewise Mixed-Effect Models with Unknown Random Knots Data. Applied Psychological Measurement, 38(7), 583-584. [Computer software].

Zopluoglu, C. (2013). A Comparison of Two Estimation Algorithms for Samejima’s Continuous IRT Model. Behavior Research Methods, 45(1), 54-64.

Christ, T.J., Zopluoglu, C., Monaghen, B., & Van Norman, E.R. (2013). Curriculum- Based Measurement of Oral Reading: Multi-Study Evaluation of Schedule, Duration and Dataset Quality on Progress Monitoring Outcomes. Journal of School Psychology, 51(1), 19-57.

Zopluoglu, C. (2013). CopyDetect: An R package to Compute Statistical Indices for Detecting Answer Copying on Multiple-Choice Tests. Applied Psychological Measurement, 37(1), 75-77. [Computer software].

Zopluoglu, C., & Davenport, E.C. (2012). The Empirical Power and Type I Error Rates of the GBT and Omega Indices in Detecting Answer Copying on Multiple-Choice Tests. Educational and Psychological Measurement, 72(6), 975-1000.

Zopluoglu, C. (2012). EstCRM: An R package for Samejima's Continuous IRT Model. Applied Psychological Measurement, 36(2), 149-150. [Computer software].