- Code PSYC3018
- Unit Value 6 units
- Offered by School of Medicine and Psychology
- ANU College ANU Joint Colleges of Science
- Course subject Psychology
- Areas of interest Psychology
- Academic career UGRD
- Dr Daniel Skorich
- Mode of delivery In Person
First Semester 2024
See Future Offerings
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.
Upon successful completion, students will have the knowledge and skills to:
- Describe and explain the unique conceptual underpinnings of a variety of statistical techniques, including Analysis of Variance (ANOVA) and Multiple Regression Correlation (MRC), as well as their conceptual overlap.
- Choose and apply the appropriate statistical techniques for a variety of research designs.
- Implement statistical analyses in JASP and read and interpret data analysis output.
- Set up, conduct, and report statistical analyses in a style appropriate for Psychology and interpret results reported in scientific articles.
- Identify biases in the historic and current use of statistics, including in attempts to justify cultural hegemony, racist ideologies, and other forms of discrimination.
- JASP Assignment (30) [LO 1,2,3,4]
- Conceptual Assignment (40) [LO 1,2,4]
- Final Exam (30) [LO 1,2,3,5]
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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.
To be determined
Requisite and Incompatibility
Keppel, G., & Zedeck, S. (1989). Data analysis for research designs. Macmillan.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
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- Student Contribution Band:
- Unit value:
- 6 units
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