1. Handling Missing Data in the Modeling of Intensive Longitudinal Data Open Access Author: Ji, Linying Title: Handling Missing Data in the Modeling of Intensive Longitudinal Data Graduate Program: Human Development and Family Studies Keywords: intensive longitudinal datamissing datamultiple imputationfull-information maximum likelihood File: Download Masters_thesis_Ji.pdf Committee Members: Sy Miin Chow, Thesis Advisor/Co-AdvisorZita Oravecz, Thesis Advisor/Co-Advisor
