Prospectus

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Evaluating an Empirical Study

Course
2022-2023

Entry requirements

Open to MSc Psychology (research) students

Description

The aim of this course is to teach students to critically evaluate and improve published empirical psychological research. Students will be presented with research designs using a variety of different methods, to broaden their views about the possibilities to address different types of research questions. The course meetings and assignments are intended to train students to jointly and independently review empirical studies, suggest improvements and to apply open science practices and multiple methods within a single study design.

Course objectives

The course aims to:

  • Provide an overview of the different types of experimental methods used in psychological research, including their strengths and weaknesses; provide an overview of open science tools and how these initiatives can foster good research practices.

  • Train students’ ability to provide a critical and constructive review of a published empirical study.

  • Teach students to provide recommendations for improving a published research design, including the use of open science practices and multi-methods approaches.

Timetable

For the timetable of this course please refer to MyTimetable

Registration

Education

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.

Exams

It is mandatory for all 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.

Exchange students and external guest students will be informed by the education administration about the current registration procedure.

Mode of instruction

This course consists of:

  • 5 2-hour lectures (every week)

  • 5 3-hour presentation meetings (every week)
    Attendance is mandatory.

Assessment method

EES Presentation Assignment: Students will give a presentation on a paper during a discussion meeting with an expert from the field.

EES Discussion Question Assignment: Students are required to post a question on Brightspace regarding a paper on the reading list every week.

EES Writing Assignment: Students will write a critical review of a paper from a selected list and suggest improvements regarding design and method.

The Institute of Psychology 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 this fraud policy.

Reading list

Note: the reading list will be updated. The most recent version of the literature list will be announced on Brightspace prior to the start of the module.

The literature consists of 2 target papers per module and 2 empirical research papers per module. The target papers describe the relevant background literature and provide an introduction to that week’s topic. The research papers will be used during the workgroup meetings. Each of the five modules consists of two meetings:

  • The first meeting will be a lecture, providing an introduction into the topic(s).

  • The second meeting will be interactive and students are required to present an empirical research paper (for assignment description, see below).

Note: prior to the second meeting each week, all students are required to submit a critical remark, commentary or question regarding one of the research articles for that week on Brightspace.
ents are required to submit a critical remark, commentary or question regarding one of the research articles for that week on Brightspace!

Contact information

Dr. Michiel van Elk m.van.elk@fsw.leidenuniv.nl