Winter School in Empirical Research Methods
BASIC AND ADVANCED MULTILEVEL MODELING WITH STATA
PREREQUISITES (KNOWLEDGE OF TOPIC)
A graduate statistics course, at an introductory level, with exposure to regression analysis.
HARDWARE
Provided by host institution, however it is highly recommended to bring your own laptop.
SOFTWARE
Provided by host institution
LITERATURE
Mandatory:
- Snijders, T. A. B., & Bosker, R. J. (2013). Multilevel analysis. An introduction to basic and advanced multilevel modeling. Thousand Oaks, CA: Sage.
Supplementary / voluntary:
- Rabe-Hesketh, S., & Skrondal, A. (2012). Multilevel and longitudinal modeling with Stata. College Station, TX: Stata Press.
Mandatory readings before course start:
- Raykov, T. (2019). A course in multilevel modeling. Lecture notes. Michigan State University, East Lansing, Michigan, USA.
EXAMINATION PART
Take home assignment, to be submitted within 3 weeks upon course completion.
Participants are allowed any literature they can find, incl. the lecture notes volume to be provided in pdf form to them before course commences.
SUPPLEMENTARY AIDS
Course participants are allowed to use any literature they can access, incl. the lecture notes.
EXAMINATION CONTENT
Multilevel modeling with missing data, violations of missing at random, and accounting for clustering effects.
For more information click "LINK TO ORIGINAL" below.