Dr Craig Enders, Professor in the Department of Psychology at UCLA, will lead a workshop “An introduction to modern missing data methods” on Thursday, May 5 from 1 – 4 pm in ED 1205. The workshop is free and open to the public but attendees are asked to RSVP for planning purposes: amaul@education.ucsb.edu. The event is presented by Quantitative Methods in the Social Sciences (QMSS) and the Department of Education in UC Santa Barbara’s Gevirtz School.
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 missing data handling procedures. The purpose of this workshop is to introduce participants to ML and MI and to demonstrate the use of these techniques using popular software packages. The workshop content will be accessible to researchers with a foundation in multiple regression.
Originally from the Midwest, Enders received a B.A. in Psychology from University of Nebraska - Lincoln. During his undergraduate years, he developed an interest in psychometrics, and subsequently did his Ph.D. work in psychometrics and quantitative methods at the University of Nebraska in Educational Psychology. Prior to joining the faculty at UCLA in 2015, Enders was a professor in the Department of Psychology at Arizona State University.