All Semester I bachelor and master psychology courses and examinations (2020-2021) will be offered in an on-line format.
If it is safe and possible to do so, supplementary course meetings may be planned on-campus. However, attendance at these meetings will not be required to successfully complete Semester I courses.
All obligatory work groups and examinations will be offered on-line during Central European Time, which is local time in the Netherlands.
Information on the mode of instruction and the assessment method per course will be offered in Brightspace, considering the possibilities that are available at that moment. The information in Brightspace is leading during the Corona crisis, even if this does not match the information in the Prospectus.
At this time it is not possible to provide information about Semester II (2020-2021).
This course follows on from the Introduction to Research Methods and Statistics course and Inferential Statistics, and presupposes the knowledge and skills taught there.
The course discusses basic methods used to analyse data from correlational and (quasi-)experimental research: (multiple) regression-analysis and analysis of variance.
To obtain knowledge and understanding of the principles and procedures of regression analysis and analysis of variance, and the statistical techniques used in the analysis of (quasi) experimental research.
To select, carry out, assess and report on the correct analysis in a given situation.
To gain skills in working with statistical software concerning regression analysis and analysis of variance.
Note: A complete list of course objectives is available on Blackboard.
For the timetables of your lectures, work group sessions, and exams, see the timetables page of your study programme. You will also find the enrolment codes here. Psychology timetables
The Student Services Centre enrolls first-year students in lectures and work groups. However, students must register themselves in exams.
After the first year, students must register themselves in the first year course component they need to repeat: lectures, work groups and exams. A second (or higher) year student who needs only to repeat the SPSS skills test is required to attend the four SPSS work group meetings again. As such, he/she must also register again for the work groups. Enrolling for workgroups
Students are not automatically enrolled for an examination. They can register via uSis from 100 to 10 calendar days before the exam date; students who are not registered will not be permitted to take the examination. Registering for exams
Mode of instruction
8 2-hour lectures, 8 2-hour mandatory tutorial sessions and 8 optional extra tutorial sessions. The lectures will be made available as Weblectures.
Each course week begins with a lecture to introduce and explain course material. The lectures also cover additional and new topics that are included in the examination. As preparation for the lectures students are required to study the chapters assigned for that week. The lectures primarily focus on course objectives 1 and 2.
The day after the lecture there is a tutorial session. In preparation for these sessions students have to complete a number of mandatory homework assignments, that will be checked by the teacher at the start. These sessions focus on applying the acquired knowledge in practice. Students also learn to work with SPSS, a software package for statistical data analysis. The material covered in these work group sessions is also included in the examination. Students are required to bring the exercise book to every session. Attendance is mandatory. The tutorials focus on course objectives 1, 2, and 3.
The extra tutorials
In the extra work group sessions at the end of the week students are offered the opportunity to get some further practice in statistical calculations, by hand or using SPSS. All students who would benefit from this extra support are free to attend these sessions.
The assessment consists of two components:
1. A written examination consisting of 40 multiple-choice questions, each with 4 alternatives, covering both theory and statistical calculations from the literature, the work group sessions, and the lectures (Course objectives 1 and 2).
2. An SPSS skills test covering the various aspects of students’ skills in working with SPSS as well as in describing and interpreting statistical output (Course objective 3).
The final grade is a weighted average of the examination grade (70%) and the grade for the SPSS skills test (30%).
The Institute of Psychology uses fixed rules for grade calculation and compulsory attendance. It also follows the policy of the Faculty of Social and Behavioural Sciences to systematically check student papers for plagiarism with the help of software. Disciplinary measures will be taken when fraud is detected. Students are expected to be familiar with and understand the implications of these three policies.
Howell, D.C. (2016). Statistical Methods for Psychology (Leiden edition). Wadsworth: Cengage Learning. ISBN 978-1-4737-2028-2
Pallant, J. (2020). SPSS Survival Manual (7th edition). Berkshire: McGraw-Hill. (Ch. 1-8 and 11) ISBN 978-0-03352-4949-7
IBM SPSS Statistics for Windows (versie volgt). Armonk, NY: IBM Corp., [www.surfspot.nl]
Exercise book Experimental and Correlational Research.
Additional materials provided on BlackBoard (lecture slides, assignments, workbook, etc.).