1x 1 hour lab each week.
Due to the number of students enrolled in this course, there are 4 timetabled lab sessions. Please sign up to one of these and attend this same session each week. If you have not done so already, please sign up to a lab session via LEARN.
Lab sessions will provide the primary practical skill sets for statistical analysis in psychology. Statistics and computer software require practice, so please make sure you attend all labs, and do all related exercises. The lab sessions will use the R statistical environment.
In addition to the one hour lab session, students will also be asked to complete a problem set in their own study time. The problem sets should be completed before arriving at the taught lab sessions. See the course Study Guide on LEARN for suggestions on time planning.
The weekly problem sets act as a bridge from the more theory based lecture content, to the more practical labs. Unlike in RMS1 in year 2, problem sets for RMS2 focus more on the interpretation and understanding of model specification and results and how to write up results. There is far less hand calculation included due to the increased complexity of the methods we are discussing. Understanding and conducting statistical analyses takes practice, and the problem sets form a core part of guided practice on this course.
Problem set topics will follow the content of lectures. See the Lectures section in this handbook and the Course Details page on LEARN for a summary.