|In the first part of the course all aspects of setting up an experiment are discussed. Topics include discussion of different experimental designs, recruiting participants, implementing the manipulation (including priming), measuring the dependent variable(s), and data analysis. In the second part of the course all aspects of meta analysis are discussed. Topics include collecting studies, determining the quality of the studies, making the studies comparable, and conducting the statistical analysis|
The 168 hours in the course consist of 28 (14 × 2) hours attending lectures, 28 (14 × 2) hours attending practicals, 32 (2 ×16) hours working on the assignments, and 80 hours self-tuition (56 hours for preparing the lectures/practicals and 24 hours for preparing the written exam).
The course grade equals the grade of the exam. Students can only pass the course if the following condition has been met: Attendance of lab sessions (practicals) is compulsory. Only a maximum number of one missed session is allowed. Students who miss more sessions will be required to do an additional assignment. The weight of the assignment depends on the number of missed sessions.
Required PrerequisitesOnly for students who are qualified for the Research Master.
The course consists of 14 two-hour lectures and 14 two-hour computer practicals. In the interactive lecture, the lecturer explains the subject matter, asks questions, and invites students to discuss the subject matter. In the practicals, the students apply the acquired methods and techniques; that is, they practice the different aspects of setting up an experiment, and conducting meta analyses.
Type of instructions14 meetings, each during 4 hours, 2 of which are devoted to teaching and 2 to tutorials in which the materials are practiced
Type of examsWritten exam and lab session attendance.
- The literature will be announced on blackboard, at least one month before the start of the course.