This course provides an overview of multivariate data analysis methods for research in the area of business management and administration. The course will present the procedures for applying basic multivariate statistical techniques and provide hands-on experience with many of those techniques.
The primary objectives for this course are (1) to provide the student with the knowledge and confidence to properly identify appropriate data analysis tools for testing theories that are relevant to their field of research and (2) to equip the student with the background needed to develop deeper knowledge of techniques that are not explicitly covered in this class, or are not covered in sufficient detail for their particular research projects. The major topics and techniques introduced in this course are:
Statistical software SPSS/STATA will be used in the lab session
Exam requirements: Approved individual assignment.
Individual assignment. Students will be provided with an open ended business problem. Students will utilise the learnings from the lectures and labs and find solutions to the business problem. The assignment will involve following activities: collecting data, analysing data using various techniques, and preparing a research report.
The final exam is divided into two parts. Take home exam in groups of two counts 50% of the final grade and a portfolio assessment consisting of different quizzes and exercises in class counts 50% of the final grade. Furthermore, it is compulsory that students attend 75% of the classroom quizzes and exercises.
The grading is Pass/Fail, where pass equals the letter grad B or better. For the group exam, the same grade will be given to the whole group.
School of Business and Law