Professor Zhang is open to mentoring graduate students in the fall
I am interested in developing and evaluating sophisticated statistical methods for modeling high-dimensional complex data. My current lines of research include (a) statistical analysis of multivariate time series, (b) exploratory factor analysis, and (c) bootstrap methods in psychological research. In addition, I am collaborating with substantive researchers on a number of topics: personality traits, smart phone based blood glucose monitoring, brain imaging techniques like fMRI and EEG.
Zhang, G., Browne, M. W., Ong, A. D., & Chow, S. (2014) Analytic standard errors for exploratory process factor analysis. Psychometrika. 79, 444-469.
Zhang, G., Preacher, K., & Jennrich, R. I. (2012). The Infinitesimal Jackknife with Exploratory Factor Analysis. Psychometrika, 77, 634-648.
Lee, C., Zhang, G., & Edwards, M. C. (2012). Ordinary least squares estimation of parameters in exploratory factor analysis with ordinal variables. Multivariate Behavioral Research, 47, 314-339.
Zhang, G., Chow, S., & Ong, A. (2011) A Sandwich-type Standard Error Estimator of SEM Models with Single Time Series. Psychometrika,76, 77-96.
Zhang, G., & Browne, M. W. (2010) Bootstrap Standard error estimates in dynamic factor analysis. Multivariate Behavioral Research, 45, 453-482.
Zhang, G., Preacher, K., & Luo, S. (2010). Bootstrap Confidence Intervals for Ordinary Least Squares Factor Loadings and Correlations in Exploratory Factor Analysis. Multivariate Behavioral Research, 45, 104-134.