10 August 2018
Introduction to Structural Equation Modeling for Social Scientists
The course is intended to give an introduction to general principles
and techniques of Structural Equation Modeling (SEM) and their
implementations in a popular SEM software tool, R package lavaan.
The topics covered by the course are confirmatory factor analysis
(CFA), measurement invariance, path models, and structural equation
models. In addition, practical issues of estimation, visualization and
presentation of various types of SEM models are discussed.
Students are assumed to have basic knowledge of statistics and be
familiar with several conventional statistical methods, most
importantly regression analysis. In addition, for practical exercises we
will use R programming environment, so a basic knowledge of R is
desirable. However, it is not a necessary prerequisite, and a short
introduction to R will be given in the beginning of the course.
Boris Sokolov, Higher School of Economics, Candidate of Science in
Boris Sokolov is a research fellow at the Laboratory for Comparative
Social Research and lecturer in the Department of Sociology, St.
Petersburg School of Social S
Master and PhD students in international relations, political science,
Understanding the basic principles of SEM, the opportunities
which this statistical method offers for comparative social
researchers, and its limitations.
Being able to apply SEM techniques (e.g. factor analysis, path
analysis, measurement invariance testing) to the analysis of
real data sets.
Being able to properly report the results of SEM analysis in
USD 300: The course fee is USD 300 or RUR 18000
RUB 18000: The course fee is USD 300 or RUR 18000
IPSA Methods Schools Alumni Discount
We offer 50 % discount for all alumni of IPSA summer schools on methods held in St. Petersburg and other cities. Don't forget to mention it in the Registration form.
Institutional Group Offer for BA, MA & PhD S