6 ECTS credits
180 h study time

Offer 2 with catalog number 4021326DNR for all students in the 2nd semester at a (D) Master - preliminary level.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Taught in
English
Faculty
Faculty of Psychology and Educational Sciences
Department
Educatiewetenschappen
Educational team
Jerich Faddar (course titular)
Activities and contact hours
40 contact hours Lecture
78 contact hours Seminar, Exercises or Practicals
Course Content

1. Introduction
2. IBM SPSS
3. Why statistics?
4. Exploring data with graphs
5. Core statistical concepts
6. Descriptive analysis
7. Correlation (parametric and non-parametric)
8. The linear model
9. Comparing two means
10. Comparing several independent means

Course material
Digital course material (Required) : Slides, datasets, etc., Canvas
Handbook (Required) : Discovering statistics using IBM SPSS Statistics, Andy Field, 5ed, Sage, 9781526419521, 2017
Additional info

Handbook (required): "Discovering Statistics Using IBM SPSS Statistics" by Andy Field (5th Edition, 2018, ISBN 978-1-5264-1951-4)

Additional material: through the learning platform additional material will be provided (e.g., slides, datasets, etc.)

Learning Outcomes

Algemene competenties

• The students gain insight into basic principles of statistical concepts.
• The students understand the application of basic statistical analysis methods.
• The students are able to conduct statistical analyses.
• The students are able to describe and explain the procedures and statistical methods used.
• The students are able to choose the appropriate statistical method for a given research question.
• The students gain insight into the use of the various statistical tests and procedures.
• The students understand the sequence of steps in the analysis of research data.
• The students are able to translate research questions to appropriate analyses.
• The students are able to use SPSS software to conduct the statistical methods and tests covered.

Grading

The final grade is composed based on the following categories:
Written Exam determines 100% of the final mark.

Within the Written Exam category, the following assignments need to be completed:

  • Written exam with a relative weight of 1 which comprises 100% of the final mark.

    Note: Written exam on PC (theory and exercises)

Additional info regarding evaluation

Not applicable.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Educational Sciences: Standaard traject