Coronavirus (COVID-19) Update
Due to the Coronavirus (COVID-19) pandemic, any references to assessment tasks and on-campus delivery may no longer be up-to-date on this page.
Students should consult iLearn for revised unit information.
Find out more about the Coronavirus (COVID-19) and potential impacts on staff and students
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:
Coronavirus (COVID-19) Update
Assessment details are no longer provided here as a result of changes due to the Coronavirus (COVID-19) pandemic.
Students should consult iLearn for revised unit information.
Find out more about the Coronavirus (COVID-19) and potential impacts on staff and students
Coronavirus (COVID-19) Update
Any references to on-campus delivery below may no longer be relevant due to COVID-19.
Please check here for updated delivery information: https://ask.mq.edu.au/account/pub/display/unit_status
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. Note that this one session (week 7) will not be recorded to minimise risk of answers being widely disseminated. 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 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.
Coronavirus (COVID-19) Update
The unit schedule/topics and any references to on-campus delivery below may no longer be relevant due to COVID-19. Please consult iLearn for latest details, and check here for updated delivery information: https://ask.mq.edu.au/account/pub/display/unit_status
Week |
Week Starting |
Workshop content |
Assessment |
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1 |
24-February |
Admin & unit overview |
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2 |
2-Mar |
No class |
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3 |
9-Mar |
No class |
Quiz 1 due |
4 |
16-Mar |
Quiz 1 review |
Quiz 2 due |
5 |
23-Mar |
Quiz 2 review & Elective topic workshops |
Quiz 3 due |
6 |
30-Apr |
Quiz 3 review & Elective topic workshops |
Quiz 4 due |
7 |
6-Apr |
Quiz 4 review |
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13 & 20 April |
Mid-session break |
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8 |
27 April |
Project advising** |
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9 |
4-May |
No class |
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10 |
11-May |
No class |
Project reports due |
11 |
18-May |
Exam preparation session |
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12 |
25-May |
No class |
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13 |
1-June |
Final exam (in-class) |
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Date | Description |
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05/03/2020 | The dates of weeks 12 and 13 were incorrect in the unit schedule (missed one calendar week) which also caused the date of the final exam to be incorrectly indicated at one point in the guide. |