Survey Research and Design in Psychology (7126.4)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| Flexible
|| UC - Canberra, Bruce
|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 outcomesOn 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 attributes1. 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
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
PrerequisitesMust have passed or be enrolled in 7118 Experimental Psychology.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2022||UC - Canberra, Bruce||Semester 1||07 February 2022||Flexible||Mr Ananthan Ambikairajah|
In this unit, I will post chapters for you to read from various statistics textbooks. These will be available to read online (free) via your Reading List on Canvas, and are recommended but not required.
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. Participants 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 exams 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 exams and the lab report, you will fail this unit.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
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. Tutorial learning activities 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.
Buying a textbook is not required, as readings for each topic will be made available for you to access online via your Canvas Reading List.
Work placement, internships or practicums