This course will provide the knowledge and skills necessary to conduct, interpret and critically evaluate statistical analysis of psychological data, including advanced regression designs, mediation analysis, moderation analysis, path analysis, factor analysis, generalized linear models (and more).
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Demonstrate knowledge of major statistical analyses used in psychological science;
- Analyse and interpret data relevant to applied research using JASP;
- Demonstrate basic knowledge of causal inference and statistical control;
- Critically evaluate statistical results.
Indicative Assessment
- Quizzes (4) [LO 1]
- Written review report (48) [LO 1,2,3,4]
- Final exam (48) [LO 1,2,3,4]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
The expected workload will consist of approximately 130 hours throughout the semester including:
- Face-to face component which may consist of 2 hours of face-to-face activities including lectures and/or workshops per week and 2 hours of online modules.
- Approximately 82 hours of self-directed study which will include preparation for lectures, presentations and other assessment tasks.
Inherent Requirements
No specific inherent requirements have been identified for this course.
Requisite and Incompatibility
You will need to contact the School of Medicine and Psychology to request a permission code to enrol in this course.
Prescribed Texts
Please see the Learning Management System (LMS).
Preliminary Reading
Goss-Sampson, M. A. Statistical Analysis in JASP - A Students Guide (2019; July). V0.10.2 (2nd Edition). Available at: https://jasp-stats.org/jasp-materials/
Navarro, D.J., Foxcroft, D.R., & Faulkenberry, T.J. (2019). Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners. (Version 1/sqrt(2)). Available at: https://learnstatswithjasp.com
Assumed Knowledge
Students must be active in the Psychology Honours specialisation PSYC-HSPC and have completed the APAC-accredited undergraduate sequence.
You will need to contact the School of Medicine and Psychology to request a permission code to enrol in this course.
Completion of undergraduate psychology research methods and statistics is highly recommended.
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 4B
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2026 | $4920 |
- International fee paying students
| Year | Fee |
|---|---|
| 2026 | $7020 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 4108 | 23 Feb 2026 | 02 Mar 2026 | 31 Mar 2026 | 29 May 2026 | In Person | N/A |