Unit convenor and teaching staff |
Unit convenor and teaching staff
Prof Mike Jones
C3A516
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to DClinPsych or MClinPsych or DClinNeuro or MClinNeuro or DOrgPsych or MOrgPsych or PGDipOrgBeh
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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, 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 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 | Due |
---|---|---|
Study design project | 35% | 23 May |
Take-home exam | 35% | 25 April |
Invigilated exam | 30% | Exam period |
Due: 23 May
Weighting: 35%
The sample size and study design compulsory topics will be applied to a practical project that accounts for 35% of the overall course grade. Details of the project will be posted separately on iLearn but will take the form of a competitive grant research proposal.
Due: 25 April
Weighting: 35%
The data manipulation and missing value compulsory topics will be assessed via a take-home exam that will account for 35% of the overall course grade. The exam will be available and completed in the form of an online iLearn quiz. The exam may involve multiple choice, fill-in-the-blank or short answer questions.
Due: Exam period
Weighting: 30%
This may be composed of multiple choice and/or short answer style questions and will be held in the regular exam period after week 13 (exact date/time/location to be advised by the university). The exam will cover all of the elective topics plus critical appraisal and students will choose to answer questions on any two topics.
The unit is largely delivered by downloadable video lectures that combine a classical lecture with demonstration of practical application using SPSS and are available for download at the start of semester. Only one compulsory topic is delivered by face-to-face lecture while all subsequent compulsory modules and all student-selected modules have their core content delivered by video lecture. All compulsory topics do, however, have one-hour face-to-face tutorial sessions at which attendance is strongly recommended but not compulsory. All student-selected modules have an associated in-person workshop at which attendance is very 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.
Week |
Lecture date |
Topic |
Milestone |
1 |
25-Feb |
Admin & sample size/design |
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2 |
4-Mar |
No class |
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3 |
11-Mar |
Compulsory topic tutorials* |
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4 |
18-Mar |
No class |
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5 |
25-Mar |
Elective topic workshops* |
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6 |
1-Apr |
Elective topic workshops* |
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6-17 April |
Mid-semester break |
Take-home exam due |
7 |
22-Apr |
Project advising** |
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8 |
29-Apr |
No class |
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9 |
6-May |
No class |
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10 |
13-May |
No class |
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11 |
20-May |
No class |
Project report due |
12 |
27-June |
No class |
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13 |
3-June |
Exam revision class§ |
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Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:
Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/
Results shown in iLearn, or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
For help with University computer systems and technology, visit http://informatics.mq.edu.au/help/.
When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.
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