Introduction to Research in the Health Sciences (11398)

Available teaching periods	Delivery mode	Location
View teaching periods	Online real-time On-campus	Bruce, Canberra UC College, Bruce, ACT
0.125	3	Faculty Of Health
Psychology	Level 1 - Undergraduate Introductory Unit	Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021)

Introduction

In this unit students will be introduced to the research methods used in the health sciences. The unit covers the research process, experimental and quasi-experimental methods, survey and correlational research, hypothesis testing and statistical inference. Students will also be introduced to a statistical program.

Learning outcomes

After 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 attributes

1. 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

Prerequisites

None.

Corequisites

None.

Incompatible units

6540 Introduction to Statistics Exception: Students in the Bachelor of Science in Psychology must complete 11398 even if they have already passed 6540.

Equivalent units

6611 Introduction to Psychological Research

Assumed knowledge

None.

Availability

Availability for enrolment in 2027 is subject to change and may not be confirmed until closer to the teaching start date.

Year	Location	Teaching period	Teaching start date	Delivery mode	Unit convener
2026	Bruce, Canberra	Semester 2	10 August 2026	Online real-time	Dr Carly Pymont
2026	UC College, Bruce, ACT	Semester 2	10 August 2026	On-campus	Ms Dana Kisswani
2026	Bruce, Canberra	Semester 2	10 August 2026	On-campus	Dr Carly Pymont
2027	Bruce, Canberra	Semester 2	09 August 2027	On-campus	Dr Carly Pymont
2027	UC College, Bruce, ACT	Semester 2	09 August 2027	On-campus	Ms Dana Kisswani
2027	Bruce, Canberra	Semester 2	09 August 2027	Online real-time	Dr Carly Pymont

Timetable

Not available

Resources

Required texts

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. (2020). Publication manual of the American Psychological Association (7th ed). Washington, DC: American Psychological Association.

Assessment requirements

Submission of assessment items

Extensions & Late submissions

Research Case Analyses: Late penalties will be applied to the Research Case Analyses for those students without an approved extension as per university policy. Submission through quizess on Canvas. In class test conditions of RAPs will be applied.

Laboratory Report: Late penalties will be applied to the Laboratory Reports for those students without an approved extension as per university policy. Submission on Canvas

Instructions for applying for an extension will be provided on Canvas.

Special assessment requirements

The final mark is determined by adding all three assessment marks together 鈥� each individual assessment item does not need to be passed in order to pass the unit.

Artificial intelligence

This unit allows guided use of GenAI (e.g., Microsoft Copilot) for the lab report introduction (and only the lab report introduction). AI may not be used for any of the other assessment pieces.

Research Case Analyses: no use of GenAI

Final Exam: Proctored with no use of GenAI

Laboratory report: Guided use of GenAi allowed but submission must be the students own work.

Acceptable uses of GenAi for this assessment are

Idea generation (e.g. for the introduction)
Help with rephrasing (but do not copy/paste whole sentence/paragraphs directly from AI)
Improve writing, using spelling checks and grammar.
Summarising research (but do not copy paste text into any part of the lab-report, as it is not your own work.

Instead think about it, add to it, remove unnecessary bits, etc. Make it your own). Also, it may not be correct. Always read the original articles and check that what is said is indeed correct.

Anything beyond these and you will not meet the assessment requirements and unit learning outcomes.

You may NOT use AI for the following purposes:

Generation of references/citations
Data analysis
Interpretation of analyses
writing of assessment or components etc.

If GenAI is used, then an additional file must be uploaded with prompts and output relevant to the assessment. More instructions will be provided in the laboratory report information

Where the assessment instructions do not specifically state that GenAI may be used and how, then its use is not permitted for that assessment. Students must still provide the required GenAI Acknowledgement Statement to indicate whether GenAI has or has not been used in the preparation of the assessment.

The GenAI for Students Library Guide provides further information, including how to reference GenAI.

Academic integrity

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 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 , , and 麻豆村 of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Student responsibility

Participation requirements

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.

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