Course Title: Quantitative Research Techniques

Part A: Course Overview

Course Title: Quantitative Research Techniques

Credit Points: 12.00

Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 1 2014,
Sem 1 2015,
Sem 2 2015

Course Coordinator: Dr James Baglin

Course Coordinator Phone: +61 3 9925 6118

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

This course assumes that you have: 
-  completed a discipline specific research methods course 
-  have collected or plan to collect data related to your research during the course of the teaching period
-  basic IT skills including the ability to use web browsers, e-mail, discussion boards and word processing programs (e.g. Microsoft Word and Powerpoint)
-  regular access to the internet
-  fundamental mathematical skills to a graduate high-school standard

Course Description

This course aims to deliver you with the skills needed to collect, organise, summarise, analyse and communicate quantitative data related to your higher degree by research. This course builds on quantitative research methods by developing fundamental skills related to gathering, managing and statistically analysing quantitative data using a technology-based approach.

Objectives/Learning Outcomes/Capability Development

Upon completion of this subject you should be able to: 
-  explain concepts and principles foundational to quantitative research and data collection
-  plan and collect quantitative data for the purpose of research
-  evaluate methods of investigating and collecting quantitative data
-  organise and manage quantitative data for the purpose of statistical analysis
-  demonstrate an ability to analyse and interpret quantitative data
-  read, interpret and communicate statistical information related to your area of research
-  work with different types of quantitative data and understand how the nature of quantitative data changes statistical analysis
-  effectively communicate and present quantitative data
-  apply basic and advanced statistical methods to quantitative data using a statistical software package

Overview of Learning Activities

This course is delivered online using myRMIT studies. This will give you access to staff communication tools, discussion forums, the teaching schedule, learning materials, course notes, suggested reading, project details, exercises, assessment timelines and online tests. The course features case study videos, video demonstrations, labs and forums all conducted online. This online material will make your individual study activity more flexible. Weekly exercises are are submitted online to check your understanding and to provide additional information. You are encouraged to spend up to 4 hours per week working on the suggested exercises on their own from the prescribed text.

Overview of Learning Resources

You will be expected to have access to a current copy of the SPSS statistical package or the free statistical package R.

All RMIT PhD students can obtain free licenses for SPSS by emailing the RMIT Software Service Account ( In your email, state that you’re currently enrolled as a HDR student and require SPSS for conducting your research. Your email should also state the computers operating system and whether you plan to install the software on a personal or university computer.

To access and install the free statistical package R, please click here.

You will also need access to a spreadsheeting program such as Microsoft Excel or Google Drive (Spreadsheet).

You must make use of the course site on myRMIT studies, which includes announcements, course documents (readings, notes, video resources, video demonstrations and exercises), tests, assignments, project information and a very active discussion board.

The prescribed text for the course is based on which statistical package you plan to use. There are two options:
Field, A. (2013) Discovering Statistics using IBM SPSS Statistics. Sage Publication Ltd, London.
Field, A. (2012) Discovering Statistics using R. Sage Publication Ltd, London.

Overview of Assessment

The assessment of this course is based on the following tasks: 
-  Two formative web tests conducted at the middle and end of semester
-  Exercises/assignment for each learning module
-  Project - (Project Summary + Data Analysis Plan + SPSS Data File Creation + Poster Presentation)
If you have a long term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the course coordinator or the Disability Liaison Unit if you would like to find out more.
Your course assessment conforms to RMIT assessment principles, regulations, policies and procedures which are described and referenced in a single document which can be found here.