Missing Data Procedures Used in a Large-Scale Randomized Controlled Trial: Lessons Learned and Limitations

• In Event: Roundtable Session 117
  In Roundtable Session: Research on Accommodating Missing Data

Abstract

This proposal will provide an overview of state-of-the-art missing data presentation, diagnostic and multiple imputation procedures that were used in a recently published randomized controlled trial designed to evaluate the impact of a reading intervention program. Although the work does not contribute new missing data procedures, the presentation will present a series of “lessons learned” demonstrate the need for on-going research and technological development in this field.

Authors

• 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