Course ObjectiveAfter 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 ContentThe 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 MethodsThe 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
Method of AssessmentThe 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
Target AudienceDue 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.
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||dr. M.H. Morren|
|Examiner||dr. M.H. Morren|
dr. A.C. Smit
dr. M.H. Morren
You need to register for this course yourself
Last-minute registration is available for this course.
This course is also available as: