Logo Students

FOAR7009 – Research Theme 5: Quantitative Methods

2020 – Session 1, Weekday attendance, North Ryde

Coronavirus (COVID-19) Update

Due to the Coronavirus (COVID-19) pandemic, any references to assessment tasks and on-campus delivery may no longer be up-to-date on this page.

Students should consult iLearn for revised unit information.

Find out more about the Coronavirus (COVID-19) and potential impacts staff and students

General Information

Pdf icon Download as PDF
Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor
Hangyoung Lee
Contact via Email
Department of Sociology, Level 2, AHH (16 University Avenue)
By appointment
Credit points Credit points
Prerequisites Prerequisites
Admission to BPhil/MRes
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

Social surveys are now used widely in policy-making, public debate, and social research. This unit provides students with a practical and theoretical guide to the use of surveys in social research. The unit looks closely at how to administer social surveys, how to write good survey questions and the debates about the potentials and limits of this methodology in the social sciences. Social surveys are usually designed to enable the statistical analysis of survey data, so the second part of the unit is dedicated to introducing students to a range of statistical models including multiple regression model. In this unit, students will learn R language for analysing survey data.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://students.mq.edu.au/important-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Understand the link between quantitative research design, survey procedure and statistical analysis.
  • ULO2: Understand quantitative social science research critically.
  • ULO3: Analyse survey data using appropriate statistical models.
  • ULO4: Carry out a statistical analysis using R.
  • ULO5: Interpret statistical outputs in plain language.
  • ULO6: Conduct original research using quantitative research methods.

Assessment Tasks

Coronavirus (COVID-19) Update

Assessment details are no longer provided here as a result of changes due to the Coronavirus (COVID-19) pandemic.

Students should consult iLearn for revised unit information.

Find out more about the Coronavirus (COVID-19) and potential impacts staff and students

Delivery and Resources

Coronavirus (COVID-19) Update

Any references to on-campus delivery below may no longer be relevant due to COVID-19.

Please check here for updated delivery information: https://ask.mq.edu.au/account/pub/display/unit_status

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 Tuesdays from 6 pm to 8 pm in 4 Western Rd - 311 Tute Rm.



This course draws on two required textbooks.

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:


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 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 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 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

Unit Schedule

Coronavirus (COVID-19) Update

The unit schedule/topics and any references to on-campus delivery below may no longer be relevant due to COVID-19. Please consult iLearn for latest details, and check here for updated delivery information: https://ask.mq.edu.au/account/pub/display/unit_status





Introduction to Survey Research Methods

Discussing  Your Research


Research Design

Choosing a Research Problem

Introducing R and RStudio


Unit of Analysis and Empirical Measures

Finding Literature

Creating Datasets


Ethics of Survey Research and Sampling Method

Searching for Datasets

Playing with Variables


Survey Questionnaires and Survey Administration

No workshop (Will be used for consultation hours for the quiz)


Descriptive Statistics

Online Survey Tools

Recoding Variables


Measures of Variability and Normal Distribution (1)

Formulating Hypotheses

Univariate Statistics (1)


Normal Distribution (2) and Sampling Distribution

Literature review

Univariate Statistics (2)


Confidence Intervals

Reference Management Software

Normal Distribution and Confidence Intervals


Hypothesis Test

Analysing Your Data

Hypothesis Test (T-test)


Bivariate Table and Chi-sqaure

Analysing Your Data

Crosstab & Chi-sqaure Test


Correlation and Simple Regression

Analysing Your Data

Correlation and Simple Regression


Multiple Regression

Analysing Your Data

Multiple Regression

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct​


Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) 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 or if you are a Global MBA student contact globalmba.support@mq.edu.au

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.

Student Enquiry Service

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

Equity Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

IT Help

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.