364-1020-04L  Methods in Management Research: Quantitative Research - Multilevel Analysis

SemesterSpring Semester 2019
LecturersS. Raeder
Periodicityyearly recurring course
Language of instructionEnglish


AbstractMultilevel analysis is required for data collected in clustered samples for which sampling decisions were taken in several steps (e.g. first choosing firms, then employees in firms). The course provides basic knowledge about the design and analysis and some advanced applications such as models with three levels or with moderation and mediation.
ObjectiveThe course aims to support students in:
1) understanding multilevel design and statistics,
2) being able to design and calculate multilevel models,
3) being able to interpret and report the results of the statistics.
ContentThe course provides basic knowledge about the design and analysis of multilevel models and some advanced applications such as models with three levels or with moderation and mediation.

Session 1: Basics of multilevel modelling
- Statistical model,
- calculation of model in SPSS,
- required sample size,
- reporting of results.

Session 2:
- moderation and mediation in multilevel models,
- introduction to longitudinal analysis.

SPSS is used in the course for the practical course work.
Lecture notesPower points and all material used in the course are available in Moodle.
LiteratureSession 1:
Hox, J. (2010). Multilevel analysis. Techniques and applications (2nd ed.). New York: Routledge. Chapter 1& 2

Session 2:
Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis. New York: Oxford University Press.
Hoffman, L. (2015). Longitudinal analysis. Modeling within-person fluctuation and change. New York, London: Routledge.

Further recommended reading:
Hox, J. (2010). Multilevel analysis. Techniques and applications (2nd ed.). New York: Routledge.
Snijders, T. A. B., & Bosker, R. J. (2011). Multilevel analysis (2nd ed.). An introduction to basic and advanced multilevel modeling. Sage: London.
Heck, R. H., Thomas, S. L., & Tabata, L. N. (2010). Multilevel and longitudinal modeling with IBM SPSS. New York: Taylor & Francis.
Prerequisites / NoticeBasic knowledge in regression analysis is necessary for following the course.

Students work on three assignments:
1) before the course starts,
2) after session 1 and
3) after the end of the course.
Assignment 1 includes reading, finding a sample paper with multilevel analysis and providing information on experience with the method. More detailed information will be given before the course starts. Assignment 2 and 3 consist of analyzing data and reporting results.

It is expected that participants attend 100% of the teaching and work on all assignments.

SPSS is used in the course for practical course work. Students have to install the package on their computer.