Survey Research and Design in Psychology (7126.4)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | Flexible On-campus |
Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Health |
Discipline | Study level | HECS Bands |
Discipline Of Psychology | Level 3 - Undergraduate Advanced Unit | Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Design, conduct and critique survey-based research in psychology;
2. Conduct and interpret correlational multivariate statistical data analysis, including reliability, factor analysis, and multiple linear regression; and
3. Communicate the results of survey-based psychological research in writing.
Graduate attributes
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - take pride in their professional and personal integrity
Prerequisites
Must have passed or be enrolled in 7118 Experimental Psychology.Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2024 | Bruce, Canberra | Semester 1 | 05 February 2024 | Flexible | Dr Ananthan Ambikairajah |
2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | On-campus | Dr Ananthan Ambikairajah |
Required texts
There are no required textbooks for this unit. However, in this unit, I will post chapters for you to read from various statistics textbooks. These will be available to read via your Reading List on UCLearn, and are recommended for you to read.
For help understanding the statistics program we will use, you may find the free jamovi manual useful:
- Navarro, D., & Foxcroft, D. (2018). Learning statistics with jamovi: A tutorial for psychology students and other beginners. (version 0.65).
- This is available to download from: https://blog.jamovi.org/2018/10/25/learning-statistics-with-jamovi.html
If you would like further reading about topics covered in this unit, you may find the following textbooks helpful, however you are not expected to buy these:
- Haslam, A., & McGarty, C. (2018). Research methods and statistics in psychology (3rd ed.). London: SAGE.
- Burton, L., Goodwin, C. J., Goodwin, K. A., & Jose, P. (2018). Psychology research methods. Queensland: Wiley.
-
Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. Sage publications.
You may wish to get an APA style guide to assist you with the preparation of your lab report. The recommended text is:
- American Psychological Association (2019). Publication manual of the American Psychological Association (7th ed.). Washington, DC: American Psychological Association.
Alternative texts that explain how to write a psychology lab report in APA style may also be useful. For example:
- Burton, L. J. (2017). An interactive approach to writing essays and research reports in psychology (4th ed.). Milton, Qld, Australia: John Wiley & Sons.
The recommended textbooks are available in the UC library.
Submission of assessment items
Extensions & Late submissions
Students are expected to work on the assessment items throughout semester. Extensions will only be granted in exceptional circumstances. Early communication of problems is strongly advised. Students should assess within the first few weeks of semester whether they have a reasonable likelihood of being able to complete the unit and should consider withdrawing by the census date if they are not keeping up.
Please note that extensions will not be granted for:
- Workload (e.g., study load and/or paid or voluntary workload) - such problems should be anticipated and withdrawal from the unit is recommended if workload is a problem.
- Technical problems (e.g., lost/corrupted/damaged storage media, software/internet access problems, and viruses) - it is strongly recommended that you keep multiple and regular backups of your notes, lab report drafts, data, syntax, and output files.
- Undocumented issues.
Submit extension requests via email to the unit convener from your UC student email address and include:
- Your first and last name
- Which assessment item(s) an extension is requested for
- Length of extension requested
- A completed University of Canberra Assignment Extension form.
Special assessment requirements
In order to pass this unit, students must attempt the online applied assessment and lab report assessment items as well as achieve an overall mark of at least 50% for this unit. If you receive a mark in excess of 50% for this unit but have not attempted at least one of the online applied assessments and the lab report, you will fail this unit.
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
Engagement with lectures and tutorials is strongly recommended. Lectures will help students develop their knowledge of the material which will be required to complete the assessment tasks. Tutorials develop hands-on data analysis skills, which are also closely related to the assessment tasks.
Required IT skills
A moderate level of expertise in using word-processing and spreadsheet software is required.
Previous introductory experience using data analysis software is expected, though you are not expected to be familiar with jamovi before entering the unit.
In-unit costs
Buying a textbook is not required, as readings for each topic will be made available for you to access via your UCLearn Reading List or the UC library.
Work placement, internships or practicums
None