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PY4113 - Design and Analysis for Research
| Credit points: | 3 |
| Year: | 2021 |
| Student Contribution Band: | Band 4 |
| Administered by: | College of Healthcare Sciences |
The purpose of this subject is to introduce students to advanced data analysis techniques that build upon those learned at undergraduate level. A special emphasis will be placed on correlation-based techniques called mediation and moderation. Students will learn the logic behind these techniques, best practice when using them, how to perform them in computer packages, and how to appropriately report their results.
Learning Outcomes
- demonstrate knowledge of advanced data analysis techniques, including mediation and moderation;
- demonstrate the use of appropriate software to conduct advanced data analysis techniques, including mediation and moderation;
- appropriately report the results from advanced data analysis techniques, including mediation and moderation.
Subject Assessment
- Written > Examination (centrally administered) - (40%) - Individual
- Participation > Class participation - (%) - Individual
- Written > Problem task - (60%) - Individual.
Special Assessment Requirements
Passing requirements: complete and submit all assessment items; participate in at least 75% of scheduled classes; achieve a cumulative score of at least 50% after the application of any penalties such as late penalties.
| Prerequisites: | Must complete 72 credit points of level 1, 2, and 3 subjects from an undergraduate Psychology course, and be accepted into the 4th year psychology stream before enrolling in any level 4 PY subjects. |
Availabilities |
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| Townsville, Internal, Study Period 1 | |
| Census Date 25-Mar-2021 | |
| Coordinator: | Dr Patrick Lin |
| Lecturers: | Dr Patrick Lin, Dr Amanda Krause. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Cairns, Internal, Study Period 1 | |
| Census Date 25-Mar-2021 | |
| Coordinator: | Dr Patrick Lin |
| Lecturers: | Dr Patrick Lin, Dr Amanda Krause. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 51 | |
| Census Date 08-Apr-2021 | |
| Coord/Lect: | Dr Patrick Lin. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 52 | |
| Census Date 05-Aug-2021 | |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 53 | |
| Census Date 02-Dec-2021 | |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
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Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.