Research Project - Data Analysis PG (6311.3)
Available teaching periods | Delivery mode | Location |
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View teaching periods | ||
EFTSLEquivalent Full Time Study Load is a measure of the student study load. One EFTSL is worth 24 credit points and is equivalent to a student undertaking full time study for one year. | Credit points | Faculty |
0.125 | 3 | Faculty Of Health |
Discipline | Study level | HECS Bands |
Discipline Of Psychology | Post Graduate Level | Band 1 2021 (Pg Clinical Psychology) Band 2 2021 (Prof Pathway Psychology-After 1 Jan 2021) Band 2 2021 (Prof Pathway Psychology-Before 1 Jan 2021) Band 2 2021 (Standard Course Commenced Before 1 Jan 2021) Band 4 2021 (Commenced After 1 Jan Social Work_Exclude 0905) Band 4 2021 (Standard Course Commenced After 1 Jan 2021) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Select and apply appropriate quantitative or qualitative techniques for data analysis and interpret the results appropriately;
2. Demonstrate awareness of potential ethical issues involved in psychological research and understanding of and practice in using the APS Code of Ethics and its accompanying Guidelines, and other relevant sources, to resolve ethical questions.
Graduate attributes
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills1. UC graduates are professional - communicate effectively
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
Prerequisites
Permission required from the unit convener.This unit is only available to students in Master of Clinical Psychology degree.
Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
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Required texts
There are no required texts. The following texts are recommended:
American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). Author. https://doi.org/10.1037/0000165-000
Australian Psychological Society. (2020). Ethical guidelines on record keeping. Author.
Bakker, M., Hartgerink, C. H. J., Wicherts, J. M., & van der Maas, H. L. J. (2016). Researchers' intuitions about power in psychological research. Psychological Science, 27(8), 1069-1077. https://doi.org/10.1177/0956797616647519
Cumming, G. (2014, January 1, 2014). The new statistics: Why and how. Psychological Science, 25(1), 7-29. https://doi.org/10.1177/0956797613504966
Gernsbacher, M. A. (2018). Writing empirical articles: Transparency, reproducibility, clarity, and memorability. Advances in Methods and Practices in Psychological Science, 1(3), 403-414. https://doi.org/10.1177/2515245918754485
Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408-420. https://doi.org/10.1080/03637750903310360
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
Hayes, A. F. (2015, 2015/01/02). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1-22. https://doi.org/10.1080/00273171.2014.962683
Jones, J. A., & Waller, N. G. (2013, Dec). Computing confidence intervals for standardized regression coefficients. Psychological Methods, 18(4), 435-453. https://doi.org/10.1037/a0033269
Shane, B. B., & Böckenholt, U. (2016). Planning sample sizes when effect sizes are uncertain: The power-calibrated effect size approach. Psychological Methods, 21(1), 47-60. https://doi.org/10.1037/met0000036
Morey, R. D., Homer, S., & Proulx, T. (2018). Beyond statistics: Accepting the null hypothesis in mature sciences. Advances in Methods and Practices in Psychological Science, 1(2), 245-258. https://doi.org/10.1177/2515245918776023
National Health & Medical Research Council, Australian Research Council, & Universities Australia. (2019). Supervision: A guide supporting the Australian Code for the Responsible Conduct of Research. Commonwealth of Australia.
National Health and Medical Research Council. (2018a). Ethical conduct in research with Aboriginal and Torres Strait Islander Peoples and communities: Guidelines for researchers and stakeholders. Commonwealth of Australia.
National Health and Medical Research Council. (2018b). Keeping research on track II: A companion document to "Ethical conduct in research with Aboriginal and Torres Strait Islander Peoples and communities: Guidelines for researchers and stakeholders". Commonwealth of Australia.
National Health and Medical Research Council, Australian Research Council, & Universities Australia. (2018). Australian code for the responsible conduct of research. Commonwealth of Australia.
National Health and Medical Research Council, Australian Research Council, & Universities Australia. (2019). Authorship: A guide supporting the Australian Code for the Responsible Conduct of Research. Commonweatlh of Australia.
National Health and Medical Research Council, the Australian Council, & Universities Australia. (2018). National statement on ethical conduct in human research 2007 (updated 2018). Commonwealth of Australia.
Preacher, K. J., & Merkle, E. C. (2012). The problem of model selection uncertainty in structural equation modeling. Psychological Methods, 17(1), 1-14. https://doi.org/10.1037/a0026804
Reardon, K., Smack, A., Herzhoff, K., & Tackett, J. (2019). An N-pact factor for clinical psychological research. Journal of Abnormal Psychology, 128(6), 493-499. https://doi.org/10.1037/abn0000435
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.
Participation requirements
Regular meetings with your reseearch supervisor, as appropriate, as negotiated between the supervisor and student.
Required IT skills
Good word-processing skills are required.
It is also necessary to be competent in using specialist software for data analysis.
Work placement, internships or practicums
None
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