Jennifer Rose is a Research Associate Professor in the Quantitative Analysis Center at Wesleyan University with extensive training in statistical methods. At Indiana University, Dr. Rose received postdoctoral training in categorical data analysis, longitudinal data analysis, and multilevel modeling. At Brown University, Dr. Rose gained extensive experience in the design, implementation, and analysis of randomized controlled trials. She has experience with measurement scale development and psychometric evaluation using structural equation modeling techniques. In addition, Dr. Rose has successfully implemented and published numerous analyses including OLS and logistic regression modeling, growth curve modeling of both continuous and categorical outcomes, multilevel modeling, latent class analysis and pattern mixture modeling of missing data. Dr. Rose has similarly strong teaching credentials at the undergraduate level having offered courses at Wesleyan University, Indiana University and Rhode Island College.
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