In this course, students learn advanced data analytic techniques for psychological research. Topics include advanced analyses within the general linear model (GLM), e.g., multiple and logistic regression, as well as special applications of the GLM such as ANOVA. Students continue to gain experience in computer-based analytic methods and coding techniques.
Antirequisite(s): the former Psychology 2810; the former Psychology 2820E.
Prerequisite(s): At least 70% in Psychology 2811A/B. A minimum mark of 60% in both Data Science 1000A/B and 0.5 math course and special permission of the department.
Extra Information: 2 Lecture Hours; 2 Laboratory Hours.
Enrollment in this course will be by special permission only. Restricted to Psychology programs, Honours Developmental Cognitive Neuroscience, Psychology special students and Scholars Electives.
Course Weight: 0.50
Breadth:
CATEGORY A
i
Subject Code: PSYCHOL
This Course is Mentioned in the Following Calendar Pages: