Multilevel analysis workshop

Dr. Asaf Levenon 

09-10.02.2020

10:00 - 15:00

Social scientists are often interested in processes taking place within multiple levels of analysis. Some scholars might be interested in differences across groups (i.e., schools, localities, organizations, countries) in their means. For example, examining differences in mean level of support for a social policy across countries or localities. Other might be interested in exploring differences across social groups in processes taken place within each groups. For instance, studying differences in the association of education with support for a social policy across localities or groups. Still others might be interested in processes that take place at the individual level over time (i.e., panel models), such as the association between parenthood and labor market outcomes. The workshop will present statistical methods suitable for examining such research questions. We will present the necessary statistical background for each model. Then, we will show how such models can be estimated using SPSS and STATA. We will conclude with practice exercises. 

Instructor: Dr. Asaf Levenon, Department of Sociology .

Time: Two days. 

Textbook: Raudenbush, Stephen W., and Anthony S. Bryk. Hierarchical linear models: Applications and data analysis methods. Vol. 1. Sage, 2002.

Requirements: Basic understanding of linear regression. 

Experience using SPSS or STATA.