Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer and Convenor
Naomi Sweller
Contact via 9850 8084
C3A 512
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
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Corequisites |
Corequisites
PSY490 or PSY495
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Co-badged status |
Co-badged status
PSYC718
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Unit description |
Unit description
This unit is designed as preparation for honours projects and to help equip students for research careers. The unit focuses on practical issues of quantitative data analysis. Most topics are dealt with in the context of SPSS. Topics include sample size and statistical power analysis, data management in SPSS and more advanced methods specifically applicable to research in psychology.
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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 |
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Online Quizzes | 10% | Weeks 4 and 10 |
Midsession exam | 40% | Week 7 |
Final exam | 50% | Examination period |
Due: Weeks 4 and 10
Weighting: 10%
Two quizzes due by 5pm Monday at the start of weeks 4 and 10 will each open one week before they are closed and each account for 5% of the unit assessment. If a quiz cannot be undertaken for reasons that qualify under the special consideration rules, the value of the remaining quiz will be inflated proportionately to total 10%. No extensions will be granted beyond midnight of the Thursday prior to that week’s lecture, as we will be going through the answers to each quiz in the following lecture. Each quiz must be completed individually by each student. These tasks will assist with Learning Outcomes 1, 2, 3, 4 and 5.
Due: Week 7
Weighting: 40%
This will be a 2-stage exam, with a team-work component. The exam will be a mixture of multiple choice and “fill in the blank” short answer questions. The procedure is such that you will first sit the exam individually, and then immediately afterwards in the same time slot you will do the exam again in groups of four. The exams will then be graded such that 90% of the score comes from the individual attempt, and 10% from the group attempt, unless the individual attempt is better than the group attempt, in which case the student will get 100% of their score from the individual attempt.
I will be allocating all students to groups. I will post the group allocations to iLearn in the week of the exam. All allocations will be completely random and based on a random number generator.
If a student misses the exam due to illness or other unavoidable circumstances they can sit a supplementary exam which will contain only an individual component, with no group component (following University guidelines that the supplementary exam does not need to be the same format as the original exam). If a student has special circumstances such as the need for an individual testing room, or a longer testing time, they will sit the individual exam at the same time as the rest of the group, but in their own room. They may start the exam earlier to enable them to finish the individual component with enough time to make their way to the group exam room to complete the group component of the assessment.
This task will assist with Learning Outcomes 1, 2, 3 and 4.
Due: Examination period
Weighting: 50%
This is a 2 hour closed book examination. The final examination may be based on any of the material covered in the unit. This will be held during the examination period, exact date will be advised closer to the time. This task will assist with Learning Outcomes 1, 2, 3 and 4.
Lectures will involve demonstrations of SPSS procedures, using various examples. Students are encouraged to bring their own laptop with SPSS installed, but this is not required. Theoretical issues will also be discussed during the lectures.
While there will be Echo recordings, the lectures are designed for face-to-face format. Due to the interactive nature of the lectures in which students are encouraged to ask questions as we go, on occasion additional notes may be written on a whiteboard, or discussed verbally. There is no guarantee these will be captured by the recording. Further, if a recording fails, no replacement recordings will be uploaded as this unit is designed for internal mode only, with the assumption that students are able to attend classes.
The only exceptions to this are Weeks 4 and 6, which will be recorded lectures uploaded to iLearn for you to listen to in your own time, and Week 7 which will be the mid-session exam. In Week 4 I will be overseas for a conference, while Week 6 is the Good Friday public holiday.
Practical exercises will be set each week for students to undertake in their own time. The following week there will be a demonstration session in addition to the lecture in which the lecturer will show (live) how they would approach the exercises. Students are encouraged to bring their own laptop computers to demonstration sessions to follow-along. Questions are encouraged during this session in particular.
Students are expected to complete readings prior to attending the lecture, and they are expected to participate in class discussions.
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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