Multilevel Modelling

Remote seminar

Researchers in a variety of disciplines—including business and economics—often collect data that have a hierarchical structure. Employees, for example, are nested within organizations, firms are nested within industries, respondent are nested within regions, and students may be nested within universities, etc. The consequence of the nested structure is that the observations in the data set are not statistically independent. This, however, violates a basic assumption of standard methods of analysis. Failing to account for the nested structure of the data and analyzing the data with conventional, single-level methods such as linear regression can yield highly misleading results. The reason is that in this context traditional methods produce standard errors that are typically too small, leading to confidence intervals that are too short and p-values that are too low.

This seminar provides a thorough introduction to multilevel modeling, a statistical framework that accounts for the nesting effect and avoids these problems, as well as those associated with earlier methods of aggregation and disaggregation. Throughout the seminar, many empirical examples are drawn from the behavioral, clinical, educational and economic disciplines. The popular software package Stata is used for all the examples, along with a detailed discussion of the command syntax and interpretation of the output.

The seminar will use Stata as statistical software.

Content and structure
The preliminary structure of the seminar can be found here.

Course coordinator
Professor Ingo Kleindienst, Department of Management, Aarhus BSS, Aarhus University.

The seminar is taught by
Tenko Raykov, Ph.D., Professor of Quantitative Methods, Michigan State University, USA.

Time and place
The seminar will be held online between August 24 and September 4, with a total of 6 online sessions / 6 teaching hours each (24 August, 26 August, 28 August, 31 August, 2 September, 4 September). Due to the time difference between Michigan and Denmark, the course is expected to start after lunch and continue into the early evening (e.g. 13:00 to 20:00). More details to follow.

Sessions will be recorded and made available to seminar participants over a period of 2 weeks.

Credits and course exam
The seminar equals 4 ECTS. To obtain the ECTS points, each PhD student is required to hand in and pass two assignments, one mid-seminar assignment and one end-of-seminar assignment. The assignments will be distributed by the teacher during the seminar.

Exemplary literature
Aguinis H, Gottfredson RK, Culpepper SA. 2013. Best-practice recommendations for estimating cross-level interaction effects using multilevel modeling. Journal of Management 39(6): 1490-1528.

Hitt MA, Beamish PW, Jackson SE, Mathieu JE. 2007. Building theoretical and empirical bridges across levels: Multilevel research in management. Academy of Management journal 50(6): 1385-1399.

Peterson MF, Arregle J-L, Martin X. 2012. Multilevel models in international business research. Journal of International Business Studies 43(5): 451-457.

Deadline for application: 13 August 2020. Please download and fill in the application form. The application should be sent by email to: Department of Management, Aarhus BSS, Aarhus University, att. Lisbeth Widahl.

Applicants from the Department of Management (MGMT), Aarhus University will be given priority over applicants from other departments/universities.