In Event: Roundtable Session 117

Division D - Measurement and Research Methodologies / Section 2: Quantitative Methods and Statistical Theory

Christopher M. Swoboda, University of Cincinnati

Inclusive Strategy in Missing Data Analyses: Inclusion of Interaction or Higher Order Terms of Auxiliary Variables - Xiaoxu Li, Peking University; Xiaoyan Sun, The Chinese University of Hong Kong; Kit-Tai Hau, Chinese University of Hong Kong

Missing Data Procedures Used in a Large-Scale Randomized Controlled Trial: Lessons Learned and Limitations - Anja Kurki, American Institutes for Research; Chuck Wilkins, Edvance Research, Inc.; John H. Hitchcock, Ohio University; Russell M. Gersten, Instructional Research Group; Joseph A. Dimino, Instructional Research Group

What Do We Do When Data Are Missing on Multiple Variables? - Jonathan D. Rubright, American Institute of Certified Public Accountants; Ratna Nandakumar, University of Delaware; Joseph J. Glutting, University of Delaware