Responsible/coordinators
Prof. Hans Jørn Juhl (HJJ) and Prof. Joachim Scholderer (SCH), Aarhus University, School of Business and Social Sciences, Department of Business Administration.
Objectives
The course will introduce participants to the three statistical modelling approaches that dominate in the social sciences: the general linear model, linear mixed models (multi-level models) and structural equation modelling. The course will be an intensive five-day course, consisting of the following modules:
Day 1: The general linear model
Day 2: Linear mixed models I
Day 3: Linear mixed models II
Day 4: Structural equation modelling I
Day 5: Structural equation modelling II
Literature
All participants are expected to obtain the course literature before the beginning of the course:
Instruction methods
Lectures (20 hours) and lab exercises (10 hours)
Software
The techniques introduced in this course will be demonstrated using SAS. All participants are expected to obtain and install the SAS system before the beginning of the course and familiarise themselves with basic operations (library references, data import and export, variable transformations, general syntax rules).
Time and place
23-27 June 2014. Aarhus University, School of Business and Social Sciences, Department of Business Administration, Bartholins Allé 10, DK-8000 Aarhus C. Room: 1325-242.
Teaching language
English
Prerequisites
We expect a prior knowledge in methodology and statistics that is equivalent to that obtained during a BSc in Economics and Business Administration as taught at Aarhus University (consisting of the courses Statistics I, Statistics II, Philosophy of Science I, Philosophy of Science and Methodology II—Quantitative Methods, Philosophy of Science and Methodology III—Qualitative Methods). In addition, we expect that all participants have a basic understanding of matrix algebra.
Admission
The total number of participants is limited to 25. Since the course is mandatory for all PhD students enrolled in the Business Administration programme of the Graduate School of Business and Social Sciences, Aarhus University, all applicants enrolled in this programme will be admitted. The remaining places will be distributed on a first-come-first-served basis among applicants who are enrolled in other PhD programmes and who can document that they have mastered the prerequisites.
Application
2 May 2014 to: Lisbeth Widahl, Aarhus University, School of Business and Social Sciences, Department of Business Administration, Bartholins Allé 10, DK-8000 Aarhus C (preferably by email: liw@asb.dk). The application form can be downloaded from the right-hand side of this web page. Please note that your application/registration is binding.
Fee
PhD students from other programmes/universities will be charged a fee that covers meals during the course (for information, please contact Lisbeth Widahl, liw@asb.dk). Participants are required to find their own accommodation.
ECTS
5 ECTS points for active participation and submission of written solutions to the course exercises.
Exam form
Each participant will submit solutions to exercises in which linear mixed models and structural equation modelling are applied to empirical data sets. The assignments will be evaluated in terms of pass or fail. Deadline for submission is 31 August 2014.
Further information
Please contact Prof. Hans Jørn Juhl or Prof. Joachim Scholderer