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Publications

Park, S.E., Ahn, S., & Zopluoglu, C. (in press). Differential item functioning effect size from the multigroup confirmatory factor analysis for a meta-analysis: A simulation study.Educational and Psychological Measurement. https://doi.org/10.1177/0013164420925885

Zopluoglu, C. (2020). A Finite mixture item response theory model for continuous measurement outcomes. Educational and Psychological Measurement, 80(2), 346–364.https://doi.org/10.1177/0013164419856663

Zopluoglu, C. (2019). Computation of response similarity index M4 in R under the dichotomous and nominal item response models. International Journal of Assessment Tools in Education, 6 (5), 1-19. https://doi.org/10.21449/ijate.527299

Zopluoglu, C. (2019). Detecting examinees with item preknowledge in large-scale testing using Extreme Gradient Boosting (XGBoost). Educational and Psychological Measurement, 79(5), 931–961. https://doi.org/10.1177/0013164419839439

Kohli, N., Peralta, Y., Zopluoglu, C., & Davison, M.L. (2018). A note on estimating single-class piecewise mixed-effects models with unknown change points, International Journal of Behavioral Development, 42(5), 518-524. https://doi.org/10.1177/0165025418759237

Sideridis, G.D., & Zopluoglu, C. (2018). Validation of response similarity analysis for the detection of academic cheating: An experimental study. Journal of Applied Measurement, 19(1), 59-75.

Zopluoglu, C., & Davenport, E.C. (2017). A note on using eigenvalues in dimensionality assessment. Practical Assessment, Research & Evaluation, 22 (7), 1-10. http://www.pareonline.net/getvn.asp?v=22&n=7

Myers, N. D., Ahn, S., Lu, M., Celimli, S., & Zopluoglu, C. (2017). Reordering and reflecting factors for simulation studies with exploratory factor analysis. Structural Equation Modeling: A Multidisciplinary Journal, 24(1), 112-128. https://doi.org/10.1080/10705511.2016.1230721

Zopluoglu, C. (2016). Classification performance of answer-copying indices under different types of IRT models. Applied Psychological Measurement, 40(8), 592-607. https://doi.org/10.1177%2F0146621616664724

Kohli, N., Harring J.R., & Zopluoglu, C. (2016). A finite mixture of nonlinear random coefficient models for continuous repeated measures data. Psychometrika, 81(3), 851-880. https://doi.org/10.1007/s11336-015-9462-0

Zopluoglu, C. (2015). Evaluating the sampling performance of exploratory and cross-validated DETECT procedure with imperfect models. Multivariate Behavioral Research, 50(6), 632-644. https://doi.org/10.1080/00273171.2015.1070708

Kohli, N., Hughes, J., Wang, C., Zopluoglu, C., & Davison, M. (2015). Fitting a linear-linear piecewise growth mixture model with unknown knots: A comparison of two common approaches to inference. Psychological Methods, 20(2), 259-275 http://dx.doi.org/10.1037/met0000034

Kohli, N., Sullivan, A., Sadeh, S., & Zopluoglu, C. (2015). Longitudinal mathematics development of students with learning disabilities and students without disabilities: A comparison of linear, quadratic, and piecewise linear mixed effects models. Journal of School Psychology, 53(2),105-120. https://doi.org/10.1016/j.jsp.2014.12.002