Audrey Leroux
Associate Professor Educational Policy Studies- Education
B.S. in Mathematics, The University of Texas at Austin, 2008
Ph.D. in Quantitative Methods, The University of Texas at Austin, 2014
- Specializations
Multilevel modeling, cross-classified and multiple membership data structures, longitudinal modeling, computerized adaptive testing, item response theory, simulations.
- Biography
Audrey Leroux is an associate professor of research, measurement and statistics in the Department of Educational Policy Studies at Georgia State University. She earned her B.S. in mathematics and Ph.D. in educational psychology specializing in quantitative methods from The University of Texas at Austin. She teaches graduate courses in introductory and advanced multilevel modeling, R programming, regression analysis, survey research and introduction to quantitative methods. Her methodological research evaluates innovative models and their applications in both multilevel modeling and computerized adaptive testing.
Specifically, her multilevel modeling research examines the effects of different multilevel models for handling complex data structures such as individual mobility across clusters, particularly with longitudinal data. Her research in multilevel modeling has appeared in Multivariate Behavioral Research, The Journal of Experimental Education, Educational Assessment, Evaluation and Accountability, and Methodology: European Journal of Research Methods for the Behavioral and Social Sciences.
Her computerized adaptive testing publications concentrate on novel procedures within item exposure controls and stopping rules, and have been published in journals such as The Journal of Experimental Education, Educational and Psychological Measurement, Applied Psychological Measurement, and Journal of Applied Measurement.
- Publications
Leroux, A. J., Cappelli, C. J., & Fikis, D. R. J. (2021). The impacts of ignoring individual mobility across clusters in estimating a piecewise growth model. British Journal of Mathematical and Statistical Psychology, 74(3), 404-426. https://doi.org/10.1111/bmsp.12229
Cappelli, C. J., Leroux, A. J., & Sun, C. (2020). A new way for handling mobility in longitudinal data. Journal of Applied Statistics, 47(11). 2081-2096. https://doi.org/10.1080/02664763.2019.1704224
Leroux, A. J., Waid-Ebbs, J. K., Wen, P., Helmer, D. A., Graham, D. P., O’Connor, M. K., & Ray, K. (2019). An investigation of exposure control methods with variable-length CAT using the partial credit model. Applied Psychological Measurement, 43(8), 624-638. https://doi.org/10.1177/0146621618824856
Leroux, A. J. (2019). Student mobility in multilevel growth modeling: A multiple membership piecewise growth model. Journal of Experimental Education, 87(3), 430-448. https://doi.org/10.1080/00220973.2018.1465384
Chen, J., & Leroux, A. J. (2018). Residual normality assumption and the estimation of multiple membership random effects models. Multivariate Behavioral Research, 53(6), 898-913. https://doi.org/10.1080/00273171.2018.1533445
Leroux, A. J., & Beretvas, S. N. (2018). Estimation of a latent variable regression growth curve model for individuals cross-classified by clusters. Multivariate Behavioral Research, 53(2), 231-246. https://doi.org/10.1080/00273171.2017.1418654
Lei, X., Li, H., & Leroux, A. J. (2018). Does a teacher’s classroom observation ratings vary across multiple classrooms? Educational Assessment, Evaluation and Accountability, 30(1), 27-46. https://doi.org/10.1007/s11092-017-9269-x
Leroux, A. J., & Beretvas, S. N. (2018). Estimating a three-level latent variable regression model with cross-classified multiple membership data. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 14(1), 30-44. https://doi.org/10.1027/1614-2241/a000143
Leroux, A. J., & Dodd, B. G. (2016). A comparison of exposure control procedures using the generalized partial credit model. Journal of Experimental Education, 84(4), 666-685. https://doi.org/10.1080/00220973.2015.1099511
Leroux, A. J., & Dodd, B. G. (2014). A comparison of stopping rules for computerized adaptive screening measures using the rating scale model. Journal of Applied Measurement, 15(3), 213-226. https://www.ncbi.nlm.nih.gov/pubmed/24992246
Leroux, A. J., Lopez, M., Hembry, I., & Dodd, B. G. (2013). A comparison of exposure control procedures in CATs using the 3PL model. Educational and Psychological Measurement, 73(5), 857-874. https://doi.org/10.1177/0013164413486802
For more details on Leroux’s work, visit her Google Scholar page.