Grade descriptors and other information concerning grading are contained in the Macquarie University Assessment Policy.

All final grades are determined by a grading committee, in accordance with the Macquarie University Assessment Policy, and are not the sole responsibility of the Unit Convenor.

Students will be awarded a final grade and a mark which must correspond to the grade descriptors specified in the Assessment Procedure (clause 128).

To pass this unit, you must demonstrate sufficient evidence of achievement of the learning outcomes, meet any ungraded requirements, and achieve a final mark of 50 or better.

Further details for each assessment task will be available on iLearn.

In PSYX2248, while you are encouraged to form study groups to revise course material and practice using Stata, any work you submit for assessment must be your own, including calculations and written expression.

Assignment

Details of the assignment will be made available approximately 4 weeks prior to the due date. 

Assignment submission will be online through the iLearn page. Read the submission statement carefully before accepting it as there are substantial penalties for making a false declaration.

• The assignment must be submitted online via iLearn/Turnitin. You should upload this as a single file.
• It is your responsibility to ensure that the submitted file preserves the correct formatting of the document, including the placement of any graphs or tables in the document. It is often a good practice to convert the word document to a single PDF, confirm correct formatting, and then submit the PDF file to the iLearn/Turnitin.
• If there are technical obstructions to your submission online, please email us to let us know.

You may submit as often as required prior to the due date/time. Please note that each submission will completely replace any previous submissions. It is in your interests to make frequent submissions of your partially completed work as insurance against technical or other problems near the submission deadline.

Late Submissions

Unless a Special Consideration request has been submitted and approved, a 5% penalty (OF THE TOTAL POSSIBLE MARK) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical concern. 

 For example:

For any late submissions of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.

Word Count Penalty

5% of the possible mark will be deducted per 100 words over the word limit for the assessment task. An additional 99 words beyond the limit can be written without penalty.

Mid-session Exams

The mid-session exam will be conducted online at a set time. The content covers all material from weeks 1-7 (including lecture content, practical content, and required readings)

Final Exams

The final exam for this unit will be online with invigilation. Students are expected to make themselves available for the final exam, at the date and time set by the University, in line with the Assessment Policy and Procedure.  Sitting the final exam is compulsory in order to be eligible to pass the unit. Any student who does not attempt the final exam will be granted a Fail Absent grade.  

The final exam will include all material covered in the unit (including lecture content, practical content, and required readings).

Supplementary assessment tasks will only be provided following an approved Special Consideration application, and only when appropriate. 

As a student enrolled in this unit, you will engage in a range of online learning activities, including lectures, practicals, etc. Details can be found on the iLearn site for this unit.

This unit consists of scheduled lectures and practical classes. Lectures are delivered on campus with online options via Echo360. Practical classes are held online and commence in Week 2. Students in this unit are encouraged to attend zoom practical classes. See iLearn for class times and other details.

Recommended Readings

Howell, D. C. (2016). Fundamental statistics for the behavioral sciences. Cengage learning.

Or, Howell, D. C. (2013). Statistical methods for psychology. Belmont, CA: Wadsworth Cengage Learning.

Or, Weinberg, S. L. & Abramowitz, S. K. (2020). Statistics using Stata: An Integrative Approach (2nd ed.). New York: Cambridge University Press. 

*  Please see iLearn before purchasing these texts.

Technology Used

Active participation in the learning activities throughout the unit will require students to have access to a tablet, laptop or similar device. Students who do not own their own laptop computer may borrow one from the university library.

You will be using the software package Stata throughout the unit including for all of the assessments and practical classes. Details on how to access Stata for free can be found on: https://students.mq.edu.au/support/technology/software/stata

Social inclusion at Macquarie University is about giving everyone who has the potential to benefit from higher education the opportunity to study at university, participate in campus life and flourish in their chosen field. The University has made significant moves to promote an equitable, diverse and exciting campus community for the benefit of staff and students. It is your responsibility to contribute towards the development of an inclusive culture and practice in the areas of learning and teaching, research, and service orientation and delivery. As a member of the Macquarie University community, you must not discriminate against or harass others based on their sex, gender, race, marital status, carers' responsibilities, disability, sexual orientation, age, political conviction or religious belief. All staff and students are expected to display appropriate behaviour that is conducive to a healthy learning environment for everyone.

In the Faculty of Medicine, Health and Human Sciences, professionalism is a key capability embedded in all our courses.

As part of developing professionalism, students are expected to attend all small group interactive sessions including clinical, practical, laboratory, work-integrated learning (e.g., PACE placements), and team-based learning activities. Some learning activities are recorded (e.g., face-to-face lectures), however you are encouraged to avoid relying upon such material as they do not recreate the whole learning experience and technical issues can and do occur. As an adult learner, we respect your decision to choose how you engage with your learning, but we would remind you that the learning opportunities we create for you have been done so to enable your success, and that by not engaging you may impact your ability to successfully complete this unit. We equally expect that you show respect for the academic staff who have worked hard to develop meaningful activities and prioritise your learning by communicating with them in advance if you are unable to attend a small group interactive session.

Another dimension of professionalism is having respect for your peers. It is the right of every student to learn in an environment that is free of disruption and distraction. Please arrive to all learning activities on time, and if you are unavoidably detained, please join activity as quietly as possible to minimise disruption. Phones and other electronic devices that produce noise and other distractions must be turned off prior to entering class. Where your own device (e.g., laptop) is being used for class-related activities, you are asked to close down all other applications to avoid distraction to you and others. Please treat your fellow students with the utmost respect. If you are uncomfortable participating in any specific activity, please let the relevant academic know.