Unit convenor and teaching staff |
Unit convenor and teaching staff
Mike Jones
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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
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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 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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Practical project | 50% | No | 27 May 2016 |
Compulsory topic quizzes | 20% | No | Weeks 2-5 |
Invigilated exam | 30% | No | Exam period |
Due: 27 May 2016
Weighting: 50%
Each student selects two of the elective topics and writes a short report on each hat accounts for 25% of the overall unit grade. The two reports therefore account for 50% of the unit grade. Details of the project will be posted separately on iLearn. Reports will be submitted via Grademark (part of iLearn) and are due by 5pm on 27 May 2016.
Due: Weeks 2-5
Weighting: 20%
Each of the compulsory topics will be assessed by a short online quiz with one being completed in each of weeks 2-5. 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 one hour. Each quiz accounts for 5% of the unit grade and therefore account for a combined 20% of the unit grade.
Due: Exam period
Weighting: 30%
This will be multiple choice and short answer style and will be held in the official exam period. The exam may cover any and all material in the four compulsory modules as well as two of the five elective topics covered during the unit as well as use of SPSS and is open book format. The exam will contribute 30% of the overall course grade.
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.
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_2016.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Complaint Management Procedure for Students and Members of the Public http://www.mq.edu.au/policy/docs/complaint_management/procedure.html
Disruption to Studies Policy (in effect until Dec 4th, 2017): http://www.mq.edu.au/policy/docs/disruption_studies/policy.html
Special Consideration Policy (in effect from Dec 4th, 2017): https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policies/special-consideration
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://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
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