School of Medicine and Psychology · ANU College of Science and Medicine
In this course, you will build on and consolidate knowledge gained in PSYC2009. The course is geared particularly towards fostering a deep understanding of Analysis of Variance (ANOVA) and Multiple Regression Correlation (MRC) approaches to data analysis. The primary focus of this course is on conceptual understanding of the various topics and the two approaches, with a secondary focus on implementation and use of ANOVA and MRC techniques (in JASP). In trying to achieve conceptual understanding, PSYC3018 makes explicit the conceptual and mathematical overlap between ANOVA and MRC, emphasizing the fundamental point that ANOVA is a special case of MRC. The lecture and lab programs are structured around emphasizing this overlap; ANOVA and MRC lectures are interspersed and will often draw on the same examples, and each lab will focus on analyzing the same data using both ANOVA and MRC techniques. Within this broad focus on ANOVA and MRC, you will also be presented with advanced material on: null hypothesis significance testing; the quantification of uncertainty; statistical prediction; effect sizes; interpretation of results; and the relationship between statistics and scientific understanding. This is an Honours Pathway Course.
Assignment
Learning outcomes 1, 2, 3, 4
Quizzes
Learning outcomes 1, 2, 4
Final Exam (Hurdle)
Learning outcomes 1, 2, 3, 5
Mid-Semester Exam
Learning outcomes 1, 2, 3, 5
The expected workload will consist of approximately 130 hours throughout the semester including: - Face-to face component which will consist of 1 x 2 hour lecture per week plus 16 hours of labs spread across the semester. - Approximately 90 hours of self-directed study which will include preparation for lectures, laboratory classes and other assessment tasks.
There are no prescribed texts for this course. Preliminary Reading Keppel, G., & Zedeck, S. (1989). Data analysis for research designs. Macmillan.