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May Intensive Workshop: Multilevel Models for Longitudinal and Clustered Data
Tuesday, May 14, 2013 (All day) to Thursday, May 16, 2013 (All day)
May 14-15 Whitehall 102 & May 16 Whitehall 208
Dr. Lesa Hoffman (Psychology, University of Nebraska) will be offering a 3-day workshop on "Applied Multilevel Models for Longitudinal & Clustered Data" on May 14-16, 9am to 4:30pm. Location: May 14-15, Tuesday & Wednesday, the workshop meets in Rm 102 in the Classroom Building (Whitehall). May 16, Thursday, the workshop meets in Rm 208 in the Classroom Building (Whitehall).
Professor Hoffman offers several ICPSR classes on multilevel modeling. For this 3-day workshop, she will rely on a combination of lecture slides for more general concepts and specific data examples in Stata to illustrate those concepts. She will make the examples available in SPSS and SAS as well, in which each example will have syntax, output, and the relevant annotations/points of emphasis. Waiting List here (room capacity has been met).
- Course Outline, Schedule, and Links here!
- Lecture Slides and notes here (zipped file). Easily printable (2 per page) slides here (pdf). (During the workshop, open slides and "Print" to OneNote for making notes on the slides)
- The Workshop will be recorded in Camtasia and MP4 and Adobe Flash files will be posted here after the workshop.
- Poster here.
Video Captures of the Lectures:
5/14 AM Lecture 1 Introduction to Multilevel Models
5/14 AM Lecture 2 Describing Within-Person Change in Longitudinal Data Part 1
5/14 PM Lecture 2 Describing Within-Person Change in Longitudinal Data Part 2
5/14 PM Lecture 2 Describing Within-Person Change in Longitudinal Data Part 3 and quadratic models in Example 2
5/15 AM Lecture 2 Describing Within-Person Change in Longitudinal Data Part 4
5/15 AM Lecture 3 and Example 3 Time-Invariant Predictors in Longitudinal Data
5/15 PM Lecture 4 and Example 4 Time-Varying Predictors in Longitudinal Data
5/16 AM Lecture 5 and Example 5 Two-Level Clustered Data
5/16 PM Lecture 6 and Example 6 Three-Level Clustered Longitudinal Data