Research Methods in Psychology PG (10112.4)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | Flexible Hybrid |
Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Health |
Discipline | Study level | HECS Bands |
Discipline Of Psychology | Post Graduate Level | Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
Upon successful completion, students will be able to:1. Critically evaluate research designs in psychology;
2. Analyse research data using appropriate statistical analyses and statistical software; and
3. Effectively communicate research findings.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
4. UC graduates are able to demonstrate Aboriginal and Torres Strait Islander ways of knowing, being and doing - apply their knowledge to working with Indigenous Australians in socially just ways
4. UC graduates are able to demonstrate Aboriginal and Torres Strait Islander ways of knowing, being and doing - communicate and engage with Indigenous Australians in ethical and culturally respectful ways
Prerequisites
NoneCorequisites
Enrolment in 769AA Bachelor of Science in Psychology (Honours).Incompatible units
None.Equivalent units
7375 Research Methods and Professional Ethics PG (part A)Assumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2024 | Bruce, Canberra | Semester 1 | 05 February 2024 | Flexible | Dr James Neill |
2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | Hybrid | Dr James Neill |
Required texts
All required and recommended readings are available at no cost via the unit's UCLearn site.
Suggested readings:
American Psychological Association. (2020). Publication manual of the American Psychological Association 2020: The official guide to APA style (7th ed.). American Psychological Association. 1 hard copy in 3 hour loan; 2 hard copies in 3 day loan.
Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73(1), 3–25. https://psycnet.apa.org/doi/10.1037/amp0000389
Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage. 1 e-copy and 2 hard copies in short loan.
Navarro, D., & Foxcroft, D. (2022). Learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.75). https://doi.org/10.24384/hgc3-7p15
Submission of assessment items
Extensions & Late submissions
Additional information
- Work on assessment items is expected throughout the teaching period
- Early communication of problems is strongly advised
- During the first four weeks of semester, assess whether you are making satisfactory progress and are meeting the unit requirements. If not, withdraw by Census Date.
- To apply for an extension, use the assignment extension form available on the UCLearn site
- Assessment submitted after the original due date may be returned at a later date than for original on-time submissions
Special assessment requirements
Partial final marks will be rounded to the nearest whole. For example:
- less than or equal to 64.49% will be rounded down to 64%
- greater than or equal to 64.50% will be rounded up to 65%
Generative AI
Generative artificial intelligence (genAI) tools such as ChatGPT can aid but should not replace independent thinking. If using genAI tools for the assessment, acknowledge their use using APA-style citations and references which include a shared link to the conversation. Acknowledgement is not required for low-level tasks such as improving spelling, grammar, and quality of written expression.
You are responsible for content you submit. Be aware of limitations of genAI tools such as inaccuracies, biases, and incomplete content. GenAI tools work best for topics you already understand, with carefully crafted prompting based on peer-reviewed research. Refine prompts for better results and fact-check generated content. Despite the risks, genAI tools can aid brainstorming, concept explanation, synthesis of ideas, and improve the readability and quality of written expression.
If you are unsure, post to the discussion forum, so we can all learn together.
For more information, see the detailed genAI guidelines on the UCLearn site.
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Suggested workload allocation:
Activity | Hours |
---|---|
Workshop preparation and follow-up | 42 |
Workshop participation | 28 |
Reflection | 1 |
Essay | 12 |
Lab report | 67 |
Total | 150 |
Inclusion and engagement
Let the unit convener know if you have special requirements to support your learning.
Participation requirements
Workshop attendance is strongly recommended.
Required IT skills
Basic word processing and spreadsheet skills and a working knowledge of jamovi and/or SPSS are assumed.
In-unit costs
None
Work placement, internships or practicums
None