Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


This course is designed to introduce students in various areas of business to the principles and practice of quantitative research. The course covers the fundamentals of the research process, the statistical analysis and modeling of data, and quantitative approaches to research, all with a focus on issues specific to management studies and an emphasis on hands-on experience. In addition, this course provides a ‘toolbox’ of statistical procedures and analyses which the student can practice and apply. Upon successful completion of this course, you should:

  • Be better able to interpret and critically assess methodological execution of empirical management studies
  • Understand the uses and limitations of common tools for analyzing quantitative data
  • Develop competence in collecting, modeling, and interpreting quantitative data
  • Be prepared to utilize obtained methodological skills in master’s thesis and/or doctoral dissertation

Credits: 3

Schedule: 25.10.2022 - 01.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Mark van der Giessen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    Topics covered in the course include the fundamentals of quantitative research design, such as hypotheses formulation and data collection; preparation of survey data, such as importation into SPSS, variable transformations, and reliability assessment of multi-item measurement scales; descriptive statistics, such as means, standard deviations, and correlations; and hypotheses tests, such as t-tests, ANOVA, linear regression, and indirect effects (moderation, mediation) analysis. Practical examples and exercises are embedded in the course structure.

Assessment Methods and Criteria
  • valid for whole curriculum period:


  • valid for whole curriculum period:

    • Lectures on the fundamental theory and skills for quantitative methods
    • A rich online compendium of additional theory and practical guides to common procedures and analyses in SPSS
    • A research incubator session to discuss preliminary research ideas
    • One-on-one session with the instructor to discuss more complex quantitative challenge

    First lecture is organised together with the course MNGT-E1011 Qualitative Methods.


Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2022-2023 Spring IV
    2023-2024 Autumn II
    2023-2024 Spring IV

    Enrollment :

    Students are admitted to the course in the following priority order: 1) People Management and Organizational Development / Creative Sustainability / Global Management / Management and International Business students, 2) other students.