Mido Chang

Mido Chang
Assistant Professor
Educational Research and Evaluation (Statistics)
Ph.D., Columbia University

Dr. Chang’s research focuses on longitudinal growth models and multilevel models. Her research includes nonparametric multilevel models, comprising non-linear and small samples; nonlinear growth curve models, covering multiple waves of growth trajectory; and nonparametric maximum likelihood estimation methods, incorporating non-normality and heterogeneity of variances in multilevel analysis. She applies the statistical models to explore educational policy issues related to the academic achievement of educationally disadvantaged students. Her recent studies have dealt with the effects of social context, school programs and teachers’ class practices on the academic performance of immigrant and minority students, using nationally representative databases. She holds Masters’ degrees in child development, TESOL, and applied statistics, and several years of teaching elementary and high school students. She teaches courses in statistics including Quantitative Research Methods in Education, Multivariate Statistics, Multiple Regression, and Hierarchical Linear Models.