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 on staff and students
Unit convenor and teaching staff |
Unit convenor and teaching staff
Sophia Su
Peter Petocz
Nidthida Lin
Shahin Sharifi
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---|---|
Credit points |
Credit points
10
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Prerequisites |
Prerequisites
Permission by special approval
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit provides students with an introduction to fundamental elements of research design and quantitative research approaches within business and economics. It seeks to develop students' understanding of the contexts in which quantitative research can be undertaken and the ability to analyse, conduct, and evaluate quantitative forms of research. |
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:
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 on staff and students
Research paper critique
Due: 30 March 2020
Weighting: 15%
This assignment requires students to provide a critical review of a research paper and draw an appropriate conclusion from their critical analysis. More information will be provided on iLearn in due course.
Extension: No extension will be granted, except in circumstances where an application for special consideration is made and approved.
Research proposal
Due: 11 May 2020
Weighting: 30%
This assignment requires students to develop a research project on a topic of their own choice using the survey method. More information will be provided on iLearn in due course. Extension:
No extension will be granted, except in circumstances where an application for special consideration is made and approved.
Data analysis and reporting
Due: 9 June 2020
Weighting: 55%
This assessment will provide students with raw data in a general business discipline to analyse and to write an analytical report in response to the given research questions. More information will be provided on iLearn in due course. Extension: No extension will be granted, except in circumstances where an application for special consideration is made and approved.
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
This unit is structured around attendance at one 3 hour seminar per week. The class timetable can be found on the university web site https://timetables.mq.edu.au/. All important information including weekly seminar lectures, assessment details, important announcements and staff contact details can be found at the unit iLearn website. The following are recommended books related to the unit. They are available in the library.
• Singleton, JR., R. A. and Straits, B. C. (2017) Approaches to Social Research, 6th edition, Oxford University Press.
• Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
• Wooldridge, J. M. (2020) Introductory Econometrics A Modern Approach, 7th edition, Cengage Learning
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
Class week |
Date |
Topics |
Content |
1 SSu |
25 Feb |
Introduction to research
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Research flow:
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2 SSu |
3 March |
Elements of Research Design |
Origins of research topics; Units of analysis; Types of variables; Relationships; Stating problems and hypotheses (include explanations of different types of hypotheses).; Research purposes and research design (leading to the next week topic)
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3 SSu |
10 March |
Formulating a research design I |
Measurement conceptualisation Measurement operationalisation Levels of measurement Validity and Reliability
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4 SSu |
17 March |
Formulating a research design II |
Why Sampling Population definition Sampling designs including probability sampling (i.e. Simple random sampling vs systematic sampling vs stratified sampling vs cluster sampling) and Nonprobability sampling (convenience sampling, purposive sampling, quota sampling). Factors affecting choice of sampling testing
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5 SSu |
24 March |
Data collection using survey |
Survey design and administration Introduction to Qualtrics
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6 SSu |
31 March |
Introduction to SPSS |
Enter survey data in SPSS Demonstrate key tabs in SPSS Descriptive statistics
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7 PP
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7 April |
Analysing and reporting I |
Data preparation Testing for normality and distributional assumptions Exploratory factor analysis Reliability and validity testing
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Mid session break 13 April to 26 April
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8 pp |
28 April |
Analysing and reporting IV |
Hypotheses testing Types of tests: One-sample t-test Independent-samples t-test Paired-samples t-test
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9 NL |
5 May |
Analysing and reporting II |
ANOVA Cross-tabulation Correlation Regression
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10 NL |
12 May |
Analysing and reporting III |
Multiple regression analysis
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11 SS |
19 May |
Analysing and reporting V |
Multiple moderated and mediated regression analysis Part 1
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12 SS |
26 May |
Analysing and reporting VI |
Multiple moderated and mediated analysis Part 2
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13 NL/SS |
1 – 5 June |
Consultation -Data Analysis
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By appointment |
Note: SSu: Sophia Su PP: Peter Petocz SS: Shahin Sharifi NL: Nidthida Lin
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