JSBJ1311 Advanced statistical research methods (7–10 op)

• Causality, endogeneity, and natural experiments 
• Structural equation modeling, mediation, and instrumental variables
• Generalized linear and other non-linear models
• Moderation, structural equation modeling with latent variables
• Measurement and measurement validation
• Multilevel models
• Sampling, sample selection, and missing data
• Longitudinal analysis and multilevel and generalized structural equation models

This is an advanced-level course designed for students who already have experience using quantitative research designs and data analysis techniques in their own research. The course aims to develop a more thorough understanding of how and why specific techniques are used and what principles these techniques are based on. The course focuses on longitudinal and multilevel designs and analyses. The methods covered include all advanced econometrics and latent variable techniques used in the Academy of Management Journal, Journal of Applied Psychology, Journal of Management, Journal of Operations Management, Journal of Organizational Behavior, The Leadership Quarterly, Organization Science, Personnel Psychology, and Strategic Management Journal. The course will focus on how these techniques can support causal claims empirically, considering the issues of endogeneity and measurement validity. 

The course consists of eight content units, each taking two to four weeks and containing video lectures, online and in-person discussions, and assignments. The number of credits varies between 7-10 depending on which assignments students choose to complete. The content of each course component is explained later in the course brochure. All data analysis assignments can be completed with Stata or R. Mplus can be used for some of the assignment or their parts.

The course lasts full academic year and runs from periods 1 to 4 every other academic year.

The reading materials consists of articles, books, and book chapters on research design and analysis. The course follows a blended learning where the traditional lecture content is delivered as pre-recorded videos. The video materials include over 200 lectures of varying length.