Introduction to Research in the Health Sciences (11398.2)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| Flexible
|| Bruce, Canberra
|0.125||3||Faculty Of Health|
|Discipline||Study level||HECS Bands|
|Discipline Of Psychology||Level 1 - Undergraduate Introductory Unit|| Band 1 2021 (Commenced After 1 Jan 2021)
Band 1 2021 (Commenced Before 1 Jan 2021)
Learning outcomesAfter successful completion of this unit, students will:
1. Have an understanding of the major types of research methods used in the health sciences and the advantages and disadvantages of each;
2. Be aware of some of the issues affecting the reliability and validity of research designs; and
3. Be able to enter data in a statistical package and produce and interpret basic statistical analyses.
Graduate attributes1. UC graduates are professional - communicate effectively
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 - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Incompatible units6540 Introduction to Statistics Exception: Students in the Bachelor of Science in Psychology must complete 11398 even if they have already passed 6540.
Equivalent units6611 Introduction to Psychological Research
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2023||Bruce, Canberra||Summer Semester||28 November 2022||Flexible||Dr Carly Pymont|
|2023||Bruce, Canberra||Semester 2||31 July 2023||Flexible||Dr Janie Busby Grant|
|2024||Bruce, Canberra||Summer Semester||27 November 2023||Flexible||Dr Carly Pymont|
|2024||Bruce, Canberra||Semester 2||29 July 2024||Flexible||Dr Janie Busby Grant|
There are no compulsory readings for this unit.
The following readings are optional and are not assessable:
Navarro, D. J. & Foxcroft, D. R. (2019). Learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.70). doi: 10.24384/hgc3-7p15 [available from the unit Canvas site]
Haslam, S. A. & McGarty, C. (2014). Research methods and statistics in psychology (2nd Ed). London: Sage.
APA. (2010). Publication manual of the American Psychological Association (6th ed). Washington, DC: American Psychological Association.
Submission of assessment items
Extensions & Late submissions
Special assessment requirements
All three assessment items must be submitted for evaluation in order to be eligible to pass the unit (students must complete at least one Progress Quiz, submit a Laboratory Report, and sit the Final Exam). The final mark is determined by adding all three assessment marks together – each individual assessment item does not need to be passed in order to pass the 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.
Students are expected to access all lecture materials online. Students can choose to attend live in person or live online workshops or participate in the equivalent online asynchronous learning environment. Homework materials and additional resources are aso provided on Canvas for students to complete in their own time.
Required IT skills
No special IT skills are required for this unit, although it is expected that all students will have basic computer and word-processing skills. If you are unfamiliar with searching specialist databases for accessing Journals please see the UC library site for details of training sessions. Skills in the statistical software jamovi will be taught during the unit.
Note that if you choose to participate in the live online workshop option you will access the online meetings in real time using the Virtual Room in your UCLearn teaching site. To participate verbally, rather than just typing, you will need a microphone. For best audio quality we recommend a microphone and speaker headset. For more information and to test your computer, go to the Virtual Room in your UCLearn site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the Virtual Room.
Work placement, internships or practicums
- Semester 2, 2023, Flexible, UC - Canberra, Bruce (213429)
- Summer Semester, 2023, Flexible, UC - Canberra, Bruce (215038)
- Semester 2, 2022, Flexible, UC - Canberra, Bruce (208304)
- Summer Semester, 2022, Flexible, UC - Canberra, Bruce (209299)
- Semester 2, 2021, Flexible, UC - Canberra, Bruce (201759)
- Semester 2, 2020, Flexible, UC - Canberra, Bruce (198680)