Introduction to Quantitative Research in Business and Management

2019-2020

Course Objective

After successfully completing this course, the student is able to:
• translate a research question into a formal model that can be tested;
• use R to perform various tests and analyses;
• perform significance testing;
• analyse validity and reliability using factor analysis;
• interpret single and multiple regression models;
• use dummy variables in single and multiple regression;
• use multiple regression analysis to explain and forecast.

Course Content

The understanding of research methods to analyse large datasets and how
these methods can be used becomes ever more important. Combined with the
increased interest in data analysis, alternative software packages like
R in data analysis have become mainstream, both in academia as in the
industry. To use R and analytics to solve research problems, you need to
have a solid background not only in the available statistical methods,
but also in the inherent boundaries of these statistical methods. The
course provides a solid foundation in R programming while simultaneously
deepening the understanding of modelling, research designs, and the
limitations of data analysis.

Teaching Methods

The course will consist of 2 times 3 contact hours per week, which
consist of both a lecture and tutorial format. The students are required
to be present during the lecture. During the tutorial, the students will
work on the assignments, and are able to ask questions to the teacher.
Those who already finished the assignments may leave. The student is
expected to spend at least 24 hours to study per week (next to the
contact hours).

Method of Assessment

The student will conduct three assignments during the 6 weeks in a team
of maximally 3 students. These assignments will be handed in every other
week. At the end of the course, an exam will test the individual
capabilities. The assignments count for 45% while the exam counts for
55%.

Target Audience

Due to the entry requirements of the programme, the courses of the
Research Master Business in Society are only available for students
registered for this master’s programme and, upon approval of the
programme director, to other Research Master programmes or PhD students.

General Information

Course Code E_BIS_IQNRBM
Credits 6 EC
Period P2
Course Level 400
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. M.H. Morren
Examiner dr. M.H. Morren
Teaching Staff dr. A.C. Smit
dr. M.H. Morren

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture
Target audiences

This course is also available as: