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Cursus: 202001402
Research Methodology and Descriptive Statistics
Cursus informatieRooster
Studiepunten (ECTS)5
Contactpersoondr. H. van der Kolk
Contactpersoon van de cursus
dr. H. van der Kolk
dr. H. van der Kolk
M.J. de Nobel
dr. L.T.M. Rekers - Mombarg
1A/  2A
OpmerkingOnly students who are admitted to the pre-master programme BA, COM, ES, EST, PA or PSY are allowed to follow this course
AanmeldingsprocedureZelf aanmelden via OSIRIS Student
Inschrijven via OSIRISJa

After completion of this course students will be able to:
  1. formulate a clearempirical research questions, with clear units of analysis, variables and with a well-defined descriptive and/or explanatory aim;
  2. formulate of a well-phrased and testable causal hypothesis;
  3. identify and comprehend the implications of a causal statement (correlation, time order and the absence of a third variable);
  4. select an appropriate research design, and have knowledge about the factors that may undermine validity associated with the various designs;
  5. develop measurement instruments and to assess their reliability and validity;
  6. sample data from a larger population, are aware of possible biases introduced in the selection process and are aware of the idea of statistical inference based on sampled data;
  7. describe data, using an appropriate statistical program, in frequency tables, bar charts, histograms and box plots;
  8. describe the relationship between variables, using bivariate tables and scatterplots;
  9. draw conclusions and report about the results of a basic data analysis.
This course introduces the basic principles of empirical research in the social sciences. The role of research in the context of the empirical cycle (i.e. testing theories) and research in the context of problem solving and design will be discussed. Students will learn to formulate clear and answerable empirical research questions. They will also learn to select from various correlational and experimental research designs and different data collection methods to answer these research questions. During the course, students will develop a first understanding of the concepts of validity and reliability, and will comprehend factors that may undermine (measurement/internal/external) validity of research. Finally, they will get a basic understanding of descriptive and inferential data analysis.
It is strongly recommended to attend both the lectures as well as the tutorials. It is not possible to follow only one part of this course. We expect that students who register for this course actively participate in both parts of the course and the assignment.

For this course there are two partial exams and an assignment.
The assignment is graded ‘pass’ or ‘fail’, and must be passed to complete the course.
Both exams count for 50% of the final mark. The minimum mark for the partial exams must be at least 5.0 and the final mark must be at least 5.5 (so a 5.0 for one of the partial exams can be compensated via a 6.0 or higher for the other partial exam).
For both partial tests and the assignment there is a retake offered.
Results for a partial test/assignment are only valid until the following semester.

The lecturers can impose additional restrictions on the participations in the tests: only students showing sufficient participation in the course will be allowed to take part in the tests. This cannot be repaired after the course is finished.
Participating study
Master Communication Science
Participating study
Master Public Administration
Participating study
Master Educational Science and Technology
Participating study
Master Psychology
Participating study
Master Business Administration
Participating study
Master European Studies
Verplicht materiaal
Babbie, E (2016) The Practice of Social Research van Earl Babbie (14th edition). ISBN 978-1-305-10494-5. There is a cheaper edition (about €62) available for student who buy the book through the study association.
Literature available on Canvas
Aanbevolen materiaal


Theory part 1

Theory part 2

SPSS part

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