Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group activities on campus, and most will keep an online version available to those students unable to return or those who choose to continue their studies online.
To check the availability of face-to-face and online activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Mike Jones
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
Admission to MClinPsych or MClinNeuro or MOrgPsych
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit exposes students to a range of advanced quantitative statistical methods that are useful in research in psychology. The intent of the unit is to explain underlying concepts rather than teach deeper technical detail. Students completing the unit should have an appreciation of when a variety of advanced statistical methods are appropriate, be able to undertake simple analyses, understand how to interpret the results of these analyses and how to assess publications that have used these methods. Content includes a refresher on statistical study design, critical appraisal of published research, common data analysis methods and a number of methods for longitudinal and complex-sampled data, latent variable models as well as meta-analysis.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Name | Weighting | Hurdle | Due |
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Topic Quizzes | 20% | No | 5pm Friday of weeks 3-6 |
Practical Project | 50% | No | 5pm Friday 14 May |
Final Examination | 30% | No | 9am Wednesday 2 June |
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 32 hours
Due: 5pm Friday of weeks 3-6
Weighting: 20%
4 Compulsory quizzes of 5 questions each delivered via iLearn. The quiz will be comprised of multiple choice, fill-in-the-blank and short answer questions. Each quiz will be available for seven days but once commenced must be completed within 3 hours.
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 45 hours
Due: 5pm Friday 14 May
Weighting: 50%
Each student selects an elective topic and writes a short scientific report – up to 3000 words
Assessment Type 1: Examination
Indicative Time on Task 2: 16 hours
Due: 9am Wednesday 2 June
Weighting: 30%
Invigilated two-hour multiple choice exam of 40 questions in open book format. Thirty questions are compulsory and a further 10 are student selected.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Structure of the unit
Every student will study five (5) learning modules in this unit of which four are compulsory topics and the remaining is selected by the student from three (3) available elective modules. Compulsory modules are selected on the basis of being useful topics for any quantitative research topic, while the student-selected modules allow students to somewhat tailor the unit to their individual needs.
Compulsory modules (all must be undertaken)
Student-selected modules (select one)
Format of the unit
The unit is largely delivered by downloadable video lectures that combine a classical lecture with demonstration of practical application using Stata and are available for download at the start of or early in semester. All compulsory topics do, however, have one-hour face-to-face tutorial sessions at which attendance is strongly recommended but not compulsory. All elective modules have an associated in-person workshop at which attendance is strongly recommended but also not compulsory. The purpose of the workshops is to provide an opportunity to address unresolved questions prior to the final exam. Important note: To achieve this it will be necessary for each student to have viewed the module video and thought about their project prior to attending the workshop.
The unit is graded using the standard categories of Fail, Pass, Credit, Distinction and High Distinction. Further details concerning the exam will be provided during the unit. The project report and take home exam will be submitted to the Grademark system that is part of iLearn. You may collaborate in preparatory work for assignments; however, the report submitted must be of your own work. If two or more students are found to have submitted material which is identical, or near to identical, they will be asked to re-submit the material from the affected section or else share the marks with the other student(s) who submitted the same material. NB: Make sure you keep a complete copy of each of your submitted works should it be needed. This unit does not publish previous end-of-semester exam papers due to the assessment format which involves multiple choice questions drawn from a bank of questions which have undergone a process of development and validation to assess a wide range of concepts in this unit. Assessment quality can only be ensured by maintaining the integrity of the question bank rather than creating entirely new questions every year. However a practice exam will be provided via iLearn near the end of semester.
Week |
Week Starting |
Workshop content |
Assessment |
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1 |
22-February |
Admin & unit overview |
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2 |
1-Mar |
No class |
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3 |
8-Mar |
No class |
Quiz 1 due |
4 |
15-Mar |
Quiz 1 review & Elective topic workshops |
Quiz 2 due |
5 |
22-Mar |
Quiz 2 review & Elective topic workshops |
Quiz 3 due |
6 |
29-Mar |
Quiz 3 review |
Quiz 4 due |
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5 & 12 Apr |
Mid-session break |
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7 |
19 April |
Quiz 4 review |
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8 |
26 April |
Project advising** |
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9 |
3-May |
No class |
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10 |
10-May |
No class |
Project report due |
11 |
17-May |
Exam preparation session |
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12 |
24-May |
No class |
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13 |
31-May |
Final exam (in-class) |
Final exam |
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Date | Description |
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15/02/2021 | Change to dates of elective topic workshops |
Unit information based on version 2021.01R of the Handbook