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Unit Synopsis
This unit will give you the analytic skills necessary to carry out advanced applied research. There is both theory and computer 'hands-on' experiential exercises. The primary aim of the unit is to introduce you to a variety of univariate and multivariate analytic techniques (e.g., t-test, ANOVA, ANCOVA, Regression, GLM) as well as developing skills in applying appropriate analyses relevant to a specific research design. It builds on earlier units by introducing more advanced statistical techniques and requires the use of industry standard software packages such as SPSS. Online tutorial sessions allow the chance to practice core SPSS skills.
Details
| Level | Undergraduate |
|---|---|
| Unit Level | 3 |
| Credit Points | 6 |
| Student Contribution Band | SCA Band 1 |
| Fraction of Full-Time Student Load | 0.125 |
| Pre-requisites or Co-requisites |
PSYC12047 and PSYC12048. Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework). |
| Class Timetable | View Unit Timetable |
| Residential School | No Residential School |
Unit Availabilities from Term 2 - 2020
Term 2 - 2020 Profile
Term 2 - 2021 Profile
Term 1 - 2022 Profile
Term 1 - 2023 Profile
Term 1 - 2024 Profile
Term 1 - 2025 Profile
Term 1 - 2026 Profile
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Assessment Tasks
| Assessment Task | Weighting |
|---|---|
| 1. Research Assignment | 40% |
| 2. Written Assessment | 15% |
| 3. Report | 45% |
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web site.
No previous feedback available
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Source: SUTE, peer review
Students appreciated the passion and empathy showed by the lecturer who taught the quantitative modules, and enjoyed how they introduced humour into statistics teaching.
Teaching staff will continue to foster an engaging and empathic learning environment for students trying to master advanced research methods.
Both the quantitative and qualitative lecturers strived to show passion for research methods and empathy for student learning.
Source: SUTE, personal reflection.
Some students wanted simpler and more accessible explanations for some topic areas.
Simplify, where possible, explanations of concepts and introduce other methods (e.g., step-by-step sheets) to improve student comprehension.
Oral explanations of concepts were simplified but new step-by-step textual materials and/or videos were not produced. This will be addressed in 2026.
Source: SUTE, personal reflection.
Update some of the quantitative teaching materials.
Replace on Moodle any data analysis examples drawn from an older textbook with those from the latest textbook.
This was started but not completed in 2025. This will be addressed in 2026.
Source: SUTE evaluation. UC self reflection.
There was too much content in some weeks. Make the content more digestible and include step-by-step guides.
Review the teaching content and streamline where possible. Provide clearer signposting for what is essential and optional teaching material.
In Progress
Source: SUTE evaluation. UC self reflection.
Some students mentioned that they would prefer shorter pre-recorded videos instead of longer live lectures.
Produce more shorter pre-recorded videos instead of longer live lead lectures for the quantitative content. Maintain an interactive element via the (current) live Zoom workshops sessions.
In Progress
On successful completion of this unit, you will be able to:
- Prepare data sets suitable for analysis in SPSS
- Utilise advanced working knowledge of appropriate statistical tests for analyses in SPSS
- Write-up the results of advanced analyses in scientific APA style.
| Assessment Tasks | Learning Outcomes | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| 1 - Research Assignment | • | • | |
| 2 - Written Assessment | • | • | |
| 3 - Report | • | • | |
| Graduate Attributes | Learning Outcomes | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| 1 - Communication | • | ||
| 2 - Problem Solving | • | ||
| 3 - Critical Thinking | • | • | |
| 4 - Information Literacy | • | ||
| 6 - Information Technology Competence | • | • | |
| Assessment Tasks | Graduate Attributes | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 10 | |
| 1 - Research Assignment | • | • | • | • | |||||||
| 2 - Written Assessment | • | • | |||||||||
| 3 - Report | • | • | • | • | • | ||||||