Time and place: 30 May to 3 June 2022, Hanken School of Economics, Helsinki
Learning goal and objectives:
The course introduces doctoral students in Management and Business Studies to statistical methods for analysing multivariate data. The methods covered in the course are multiple linear regression, logistic regression, Poisson regression, multilevel models, panel data models and factor analysis. Best practice concerning the presentation of empirical results is discussed in the course.
After completing the course, the student is able to undertake high-quality quantitative research in Management and Business Studies. The student is able to present empirical results in a way that meets the technical requirements of scientific journals in Management and Business Studies.
Prerequisites are knowledge of statistics including regression at the master’s level in Management and Business Studies. No previous knowledge of matrix algebra is required.
Instruction and examination: The course consists of 32 hours of lectures, practical exercise sessions, consultation- and problem-solving sessions. The first two lectures on basic concepts from matrix algebra and statistical inference are delivered by video before the course starts.
The emphasis is on the practical use of statistical models in quantitative research. The examination constitutes of an article presentation during the course (20%) and a take-home exam after the course (80%).
The statistical programs R and SPSS are used in the course.
Credits: 6 Credits
Grading: 20% article analysis and 80% take-home exam. The course is graded on the scale from 1 to 5.
Admittance: The course is targeted towards (but not limited to) doctoral students in Accounting, International Business, Logistics, Management, Marketing, Strategy and other fields of Management and Business Studies. The maximum number of students admitted to the course is 25.
Fill in the form below and send it to the course coordinator (niklas.ahlgren@hanken.fi )
Name:
Degree:
Address:
Tel.:
E-mail:
University, faculty and department :
Major:
Officially accepted as Ph.D. student (when and where?):
Are you a member of a graduate school, where?:
Completed methodology studies:
Research field:
Subject or title of dissertation:
Methodological approach of the study:
Phase of the dissertation (do you have own empirical data, have you analyzed it and if yes, how?):
Summary of the objectives, research questions and methodologies (approx. 500 words):
Your own objectives for participating the course:
APPLICATION DEADLINE APRIL 29, 2022
Literature:
Field, A. (2017), Discovering Statistics Using IBM SPSS Statistics, SAGE Publications, Fifth edition.
Field, A. (2012), Discovering Statistics Using R, SAGE Publications, 1st edition.
Verbeek, M. (2017), A Guide to Modern Econometrics, Wiley, 5th edition.
Wooldridge, J. F. (2019), Introductory Econometrics A Modern Approach, CENGAGE, 7th edition.
Instructors:
Associate Professor Niklas Ahlgren, Hanken School of Economics, https://www.hanken.fi/en/person/niklas-ahlgren
Assistant Professor Niclas Meyer, Hanken School of Economics, https://www.hanken.fi/en/person/niclas-meyer
Mr. Alexander Back (Practice exercise sessions)
Course coordinator and contact information:
Associate Professor Niklas Ahlgren, Hanken School of Economics, Department of Finance and Statistics, PO Box 479 (Arkadiagatan 22), 00101 Helsingfors, Finland. E-mail: niklas.ahlgren@hanken.fi.