Students of the Dutch bachelor’s programme, see Inleiding in de Methodologie en Statistiek
Entry requirements
None
Description
Topics discussed in this course include: empirical reasoning, deriving a verifiable research idea, selecting data collection methods; sampling, using descriptive statistics, the normal distribution, associations between variables, determining reliability and validity, experimental control, and quasi-experimental designs.
Course objectives
At the end of this course, the student is able to:
understand the core concepts and basic principles of the methodology of psychological research
recognise and understand the most common methods for data collection and sampling
recognise and understand various aspects of the quality of measurement instruments
choose a suitable research strategy and a suitable research design based on the research question
select the suitable descriptive statistics and graphs based on the characteristics of the data and the research question
describe univariate and bivariate data using graphs and descriptive statistics
use the statistical software R to handle data, to create graphs and to determine descriptive statistics
Timetable
For the timetable of this course please refer to MyTimetable
Registration
Education
First-year bachelor students are assigned and registered for all components in the first 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. All other students (excl. minor and exchange) 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.
Exams
You must register for each exam in My Studymap at least 10 days before the exam date. Don’t forget! For more information, see the enrolment procedure.
You cannot take an exam without a valid registration 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 6 2-hour tutorial sessions.
Attendance at the tutorioal sessions is mandatory. See Brightspace for more information.
The lectures
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 can be attended in a lecture hall. Afterwards, the recordings of the lectures will be made available as Weblectures. In the week of the 3rd of October there are two lectures.
The tutorials
The tutorial sessions take place in the days after the lecture. In preparation for these sessions students have to complete a number of mandatory homework assignments. These sessions focus on applying the acquired knowledge from the literature and the lecture in practice. Students also learn to work with R, an open source software package for statistical data analysis. The material covered in these tutorial sessions is also included in the examination. Students are required to bring the exercise book to every session. In the week of October 3rd there is no tutorial session; students will work on the assignments by themselves.
Assessment method
The assessment consists of two components:
1. A written examination covering both theory and statistical calculations from the literature, the tutorial sessions, and the lectures.
2. An R skills test covering the various aspects of students’ skills in working with R as well as reporting statistical output.
The final grade is a weighted average of the examination grade (70%) and the grade for the R skills test (30%).
The Institute of Psychology uses fixed rules for grade calculation. 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. All students are required to take and pass the Scientific Integrity Test with a score of 100% in order to learn about the practice of integrity in scientific writing. Students are given access to the quiz via a module on Brightspace. Disciplinary measures will be taken when fraud is detected. Students are expected to be familiar with and understand the implications of these two policies.
Reading list and software
Leary, M.L. (2012) Introduction to Behavioral Research Methods (6th edition). Boston: Pearson. ISBN 978-1-29202-027-3
Howell, D.C. (2014/2021). Statistical Methods for Psychology (Leiden edition). Wadsworth: Cengage Learning. ISBN 978-1-4737-8791-9. E-book, can be ordered online: https://www.cengage.uk/c/custom/9781473787919/
R (open source software, download for free at www.r-project.org)
R Studio (open source software, download for free at www.posit.co)
Exercise book Introduction to Methodology and Statistics 2024-2025
Lecture slides (provided via Brightspace)
Please note: Pre-Master students might need additional literature and/or software for using SPSS and will be informed about this by the study adviser or the course coordinator.
Contact information
- Drs. Hemmo Smit hsmit@fsw.leidenuniv.nl