Students of the Dutch bachelor’s programme, see Toetsende Statistiek
This course builds on the Introduction to Methodology and Statistics, and presupposes the knowledge and skills taught there.
In this course the students’ knowledge of probability theory is refreshed and applied to the statistical tests most frequently used in psychology. The aim is for students to understand the following concepts: sampling distribution; statistical reliability; hypothesis testing; the principles and procedures for the various significance tests. Students learn to select and perform the appropriate test in a given situation.
Students will acquire an understanding of the concepts of sampling distribution, statistical reliability and hypothesis testing, as well as the principles and procedures of the various tests of significance.
Students will be able to select and perform the appropriate test in a given situation.
Students will acquire skills in working with statistical software used for these tests.
A complete list of course objectives for this course is available on Brightspace.
For the timetable of this course please refer to MyTimetable
Students must register themselves for all course components (lectures, tutorials and practicals) they wish to follow. You can register up to 5 days prior to the start of the course. The exception here is that first-year bachelor students are assigned and registered for all components in the first semester or academic year by the administration of their bachelor programme. The programme will communicate to these students for which course components and for which period the registration applies.
It is mandatory for all students, including first-year bachelor students, to register for each exam and to confirm registration for each exam in My Studymap. This is possible up to and including 10 calendar days prior to the examination. You cannot take an exam without a valid pre-registration and confirmation in My Studymap.
Carefully read all information about the procedures and deadlines for registering for courses and exams.
Students who take this course as part of a LDE minor or a premaster programme, exchange students and external guest students will be informed by the education administration about the current registration procedure.
Mode of instruction
8 2-hour lectures and 8 2-hour mandatory tutorial sessions.
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 lectures can be attended in a lecture hall and via a live stream. The lectures will be made available as Weblectures.
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 IBM SPSS Statistics, 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 assessment consists of two components:
1. A written examination consisting of multiple-choice questions, 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. (2014/2021). Statistical Methods for Psychology (Leiden edition). Wadsworth: Cengage Learning. ISBN 978-1-4737-8791-9
Pallant, J. (2020). SPSS Survival Manual. (7th edition) Berkshire: McGraw-Hill. ISBN 978-0-3352-4949-7
IBM SPSS Statistics for Windows (Version 27). Armonk, NY: IBM Corp. [Software, for sale via www.surfspot.nl].
Exercise book Inferential Statistics 2021-2022
Lecture slides (provided via Brightspace)