Presentation Title: Missing Data Imputation: From Start to Finish
Most researchers have faced the situation in which missing values (e.g., missing survey responses, attrition) have affected their ability to conduct analyses. In this hands-on workshop, participants will briefly review missing data mechanisms, and then do a guided walk-through of BLIMP–a powerful free tool for multiple imputation. Participants can download the BLIMP software ahead of time if they want to carry out the BLIMP steps with their own data or data provided by the presenter.
About Dr. Bowen
Dr. Bowen joined the faculty at The Ohio State University in 2015, moving from the University of North Carolina – Chapel Hill, where she taught for 13 years. In addition to her work developing the multi-domain, multiple-source social environmental tool Elementary School Success Profile (ESSP), Dr. Bowen has taught courses in measurement and structural equation modeling, as well as research courses for graduates in Social Work. Dr. Bowen has published in journals such as Journal for the Society for Social Work, and is the co-author of Structural Equation Modeling, part of the Pocket Guides to Social Work Research Methods series, published by Oxford University Press. Dr. Bowen’s expertise extends to HLM, latent profile analyses, confirmatory factor analyses, and measurement invariance.