Academic Integrity

Academic Integrity is an intergral part of the core values and principles contained in the Macquarie University Ethics Statement. Its fundamental principle is that all staff and students act with integrity in the creation, development, application and use of ideas and information. This means that:

• All academic work claimed as original is the work of the author making the claim
• All academic collaborations are acknowledged
• Academic work is not falsified in any way
• When the ideas of others are used, these ideas are acknowledged appropriately
• Self-plagiarism (resubmitting your own work - including past assignments for this or other units - without attribution) is an unacceptable academic activity

More information is available from Policy Central here.

University Grading Policy

The grade that a student receives will signify their overall performance in meeting the learning outcomes of the unit of study. Graded units will use the following grades

HD    High Distinction    85-100

D       Distinction            75-84

Cr      Credit                   65-74

P        Pass                    50-64

F        Fail                       0-49

Return of Marked Work

As per university policy, written assessments will be returned to students within three weeks of the submission date. Early assignments will not be marked early.

Special Consideration (Extensions)

The University recognises that students may experience events or conditions that adversely affect their academic performance. If you experience serious and unavoidable difficulties at exam time or when assessment tasks are due, you can consider applying for Special Consideration.

You need to show that the circumstances:

1. were serious, unexpected and unavoidable
2. were beyond your control
3. caused substantial disruption to your academic work
4. substantially interfered with your otherwise satisfactory fulfilment of the unit requirements
5. lasted at least three consecutive days or a total of 5 days within the teaching period and prevented completion of an assessment task scheduled for a specific date.

More information about Special Consideration is available here.

Late Penalties

Unless a Special Consideration request has been submitted and approved, (a) a penalty for lateness will apply – two (2) marks out of 100 will be deducted per day for assignments submitted after the due date – and (b) no assignment will be accepted more than seven (7) days (incl. weekends) after the original submission deadline. No late submissions will be accepted for timed assessments – e.g. quizzes.

Campus Wellbeing

Macquarie University offers a range of wellbeing services (including [but not limited to]: health, welfare, counselling, disability and student advocacy services) that are available to you at any time during your studies. Campus Wellbeing is here to support you and help you succeed, both academically and personally. More information is available here.

Lecture and workshop times

Lectures will take place on Mondays from 6 pm to 7:30 pm in 12 Second Way - 204 Tute Rm. Lecture recordings and visual materials can also be accessed using ECHO360 on the iLearn.

Workshops will take place on Mondays from 7:30 pm to 9 pm in 12 Second Way - 204 Tute Rm. Workshop recordings and visual materials can also be accessed using ECHO360 on the iLearn.

Textbooks

This course draws on two required textbooks.

• Vaus, David de (2014) Surveys in Social Research, 6th Edition, Allen&Unwin.

• Illowsky, Barbara and Susan Dean (2017) Introductory Statistics, OpenStax. (Available for free at https://openstax.org/details/books/introductory-statistics )

These textbooks can be accessed via Leganto on the iLearn.

Online Learning Platform

methods101.com is an online learning platform of quantitative research methods managed by me and Dr Nicholas Harrigan (Senior Lecturer of Sociology at MQ). This website provides online resources to help students learn statistical software programs. 

Technology used

The following technologies are used in the course:

iLearn

Important information about the weekly schedule for the course, course readings and assessment are all available on the course iLearn page. If you do not have access, please contact IT help. You are required to check iLearn and your student email regularly for course updates and information.

AppStream

AppStream is the university's a new application streaming service which provides students access to existing iLab applications via browser from anywhere, anytime, on any device. Students do not need to install a client on their device to access applications. Google Chrome is recommended browser for AppStream. Login to mq.okta.com with your MQ OneID to access AppStream applications.

Turnitin and GradeMark

The written assessment for the course needs to be submitted via Turnitin. A link to Turnitin is available via the Assessments tab on the iLearn page. Please contact the convenor if you cannot find it (do not leave it until the due date of the assessment). Assessments will be marked via GradeMark and returned to students electronically.

R/RStudio

R is the name of the statistical programming language, and RStudio is a convenient interface of R. You can download both R and RStudio for free at:

• R: https://www.r-project.org

• RStudio: https://www.rstudio.com

R and RStudio are available in AppStream as well (see above). Week 2 workshop will introduce how to install R and RStudio. After setting up R and RStudio, it is also necessary to install the following packages for the course:

• summarytools

• sjPlot

• sjmisc

• sjlabelled

• tidyverse

• gmodels

• gplots