Dealing with Missing Data, Part 1Download Powerpoint
DescriptionFall 2015 Nebraska Methodology Workshop
To receive the password to view this workshop please send a message to email@example.com.
The Nebraska Academy for Methodology, Analytics and Psychometrics invites you to view a workshop led by Craig Enders, professor of quantitative psychology at UCLA.
"Dealing with Missing Data"
There have been substantial methodological advances in the area of missing data analyses during the last 25 years. Methodologists currently regard maximum likelihood estimation (ML) and multiple imputation (MI) as two state-of-the-art handling procedures for missing data. The purpose of this course is to familiarize participants with ML and MI, and to demonstrate the use of these techniques using popular software packages. The goal of this course is to provide participants with the skills necessary to understand and appropriately implement ML and MI in their own research. To this end, the workshop will provide a mixture of theoretical information and computer applications. Workshop content will be accessible to researchers with a foundation in multiple regression.