Overview
Organisations are increasingly using marketing research, insights and analytics to inform marketing decision-making. Data from marketing research is also used to forecast new trends and future implications. This unit equips you with skills to systematically conduct marketing research and you will examine how to design research, gather, analyse and present data for effective decision-making. You will also learn how to apply new tools and techniques for questionnaire design and data analysis. Contemporary digital marketing analytics techniques will be examined and evaluated.
Details
Pre-requisites or Co-requisites
Prerequisites: MRKT 11029 Fundamentals of Marketing.
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 1 - 2025
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Class Timetable
Assessment Overview
Assessment Grading
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of 'pass' in order to pass the unit. If any 'pass/fail' tasks are shown in the table above they must also be completed successfully ('pass' grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the 'assessment task' section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University's Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from Student feedback and staff self-reflection.
There is still room for improvement on the clarity of assessment requirements as well as the practice of providing assessment relevant information.
The teaching staff in the future offerings of this unit will be encouraged to design sufficient amount of support resources for the assessments, clearly indicate key assessment requirements in the support resources, and communicate the support resources to students as early as possible.
Feedback from Student feedback and staff self-reflection.
A few students might perceive certain contents of this unit mind-numbing or challenging.
The teaching staff in the future offerings of this unit will be encouraged to incorporate into the learning and teaching materials easily understandable examples or cases on those relatively challenging contents of the unit.
- Discuss marketing research and analytics in theory and practice
- Identify and evaluate a range of tools and instruments used in marketing research for data collection and sampling
- Evaluate various marketing web analytics tools and techniques
- Apply effective data analysis techniques in digital and traditional marketing research
- Effectively communicate marketing research concepts, results and analysis.
Alignment of Assessment Tasks to Learning Outcomes
| Assessment Tasks | Learning Outcomes | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1 - Presentation - 20% | |||||
| 2 - Written Assessment - 40% | |||||
| 3 - Written Assessment - 40% | |||||
Alignment of Graduate Attributes to Learning Outcomes
| Graduate Attributes | Learning Outcomes | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1 - Communication | |||||
| 2 - Problem Solving | |||||
| 3 - Critical Thinking | |||||
| 4 - Information Literacy | |||||
| 5 - Team Work | |||||
| 6 - Information Technology Competence | |||||
| 7 - Cross Cultural Competence | |||||
| 8 - Ethical practice | |||||
| 9 - Social Innovation | |||||
| 10 - Aboriginal and Torres Strait Islander Cultures | |||||
Alignment of Assessment Tasks to Graduate Attributes
| Assessment Tasks | Graduate Attributes | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| 1 - Presentation - 20% | ||||||||||
| 2 - Written Assessment - 40% | ||||||||||
| 3 - Written Assessment - 40% | ||||||||||
Textbooks
Marketing Research
5th edition (2020)
Authors: Barry J. Babin, Steve D'Alessandro, Hume Winzar, Ben Lowe, William Zikmund
Cengage, Australia
ISBN: 9780170438964
Binding: Paperback
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Microsoft Office
- SPSS 19.0 may be needed for data analysis
- Jamovi
All submissions for this unit must use the referencing style: American Psychological Association 7th Edition (APA 7th edition)
For further information, see the Assessment Tasks.
n.nabi@cqu.edu.au
Module/Topic
The role of marketing research and the research process
Chapter
1
Events and Submissions/Topic
Module/Topic
Problem definition and the research process
Chapter
2
Events and Submissions/Topic
Module/Topic
Secondary research and big data
Chapter
4
Events and Submissions/Topic
Module/Topic
Qualitative research
Chapter
3
Events and Submissions/Topic
Module/Topic
Survey research
Chapter
5
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Preparing for the Assessment 2
Chapter
No set chapter
Events and Submissions/Topic
Module/Topic
Experimental research and test marketing
Chapter
7
Events and Submissions/Topic
Module/Topic
Measurement
Chapter
8
Events and Submissions/Topic
Module/Topic
Questionnaire design
Chapter
9
Events and Submissions/Topic
Module/Topic
Sampling: Sample design and sample size
Chapter
10
Events and Submissions/Topic
Module/Topic
Bivariate statistical analysis: Tests of association
Chapter
14
Events and Submissions/Topic
Module/Topic
Preparing for the Assessment 3
Chapter
No set chapter
Events and Submissions/Topic
1 Presentation
This assessment requires students to adhere to the guidelines on the use of artificial intelligence tools as specified in the Artificial Intelligence Assessment Scale (AIAS). Any misuse or lack of disclosure regarding the use of AI tools will be considered a breach of academic integrity. The appropriate AI scale level for this Assessment is AI PLANNING. You may use AI for planning, idea development, and research. Your final submission should demonstrate how you have developed and refined these ideas in accordance with the assessment guidelines available on Moodle.
This assessment task requires students to choose a single journal article (from the two journal articles provided on Moodle), and identify and discuss the article’s marketing problem (problem definition), independent and dependent variables, sampling decisions and the type of research design techniques. The objective is to gather a basic understanding of the components that contribute to the research study.
This presentation should be made within 3-5 minutes and through 6 PowerPoint slides. The slides should follow the subsequent structure:
- Student information and presentation title;
- The marketing problem;
- The independent variable and dependent variables;
- The sampling decisions;
- The types of research design techniques; and
- Reference list.
Please pay attention to the following details on presentation and submission methods:
- Please record your presentation through PowerPoint's "Record Slide Show" function, and submit your PowerPoint file (with recording) on Moodle.
- In the "click to add notes" section of each slide, please provide the corresponding script of that slide. Hence, in that section, you will need to write out or at least outline what you intend to say in your presentation for that slide.
- Penalties for late submission are applied as per CQU policy.
- If you need to submit an assessment extension request, you can only apply through the unit Moodle site at least 24 hours before the deadline ends.
- For details about the marking criteria, please read the marking rubric that is to be available on the Moodle site.
Week 4 Friday (4 Apr 2025) 11:00 pm AEST
Penalties for late submission are applied as per CQU policy.
Results will be released after moderation is completed (expected release time to students is 2 weeks after the submission excluding public and University holidays time).
- The marketing problem - 4 marks
- The independent variable and dependent variables - 4 marks
- The sampling decisions - 4 marks
- The types of research design techniques - 4 marks
- PowerPoint design, referencing, and presentation clarity - 4 marks
- Total - 20 marks
- Identify and evaluate a range of tools and instruments used in marketing research for data collection and sampling
- Communication
- Problem Solving
- Critical Thinking
2 Written Assessment
This assessment requires students to adhere to the guidelines on the use of artificial intelligence tools as specified in the Artificial Intelligence Assessment Scale (AIAS). Any misuse or lack of disclosure regarding the use of AI tools will be considered a breach of academic integrity. The appropriate AI scale level for this Assessment is AI PLANNING. You may use AI for planning, idea development, and research. Your final submission should demonstrate how you have developed and refined these ideas in accordance with the assessment guidelines available on Moodle.
Your task in this assessment is to analyse the comments provided by the viewers of a YouTube video and draw inferences accordingly. You will be provided the link for the YouTube video in Week 6.
Specifically, you will:
- Conduct a Thematic Analysis, e.g., prepare themes and sub-themes from the comments provided by the viewers of the video.
- Draw a diagram to explain how the themes (including its sub-themes) are connected.
- Develop hypotheses based on the diagram.
Please pay attention to the following details on presentation and submission methods:
- This assessment should be submitted in a single Word document, and has a word limit of 600-1200
- This assessment requires a minimum of 5 academic references (recent and relevant journal articles, and books).
- Penalties for late submission are applied as per CQU policy.
- If you need to submit an assessment extension request, you can only apply through the unit Moodle site at least 24 hours before the deadline ends.
- For details about the marking criteria, please read the marking rubric that is to be available on the Moodle site.
- Any assessment with a ‘Turnitin’ score of more than 25% will be checked by the marker and unit coordinator for potential plagiarism issue, although it may not necessarily mean that you have plagiarised. If there is a substantial similarity score in the ‘Turnitin’ report, your assessment could be forwarded to an appropriate office/authority.
Week 8 Friday (9 May 2025) 11:00 pm AEST
Penalties for late submission are applied as per CQU policy.
Results will be released after moderation is completed (expected release time to students is 2 weeks after the submission excluding public and University holidays time).
- Introduction - 4 marks
- Themes and sub-themes - 12 marks
- Diagram - 8 marks
- Hypotheses - 8 marks
- Writing style and referencing - 8 marks
- Total - 40 marks
- Identify and evaluate a range of tools and instruments used in marketing research for data collection and sampling
- Communication
- Problem Solving
- Critical Thinking
3 Written Assessment
This assessment requires students to adhere to the guidelines on the use of artificial intelligence tools as specified in the Artificial Intelligence Assessment Scale (AIAS). Any misuse or lack of disclosure regarding the use of AI tools will be considered a breach of academic integrity. The appropriate AI scale level for this Assessment is AI PLANNING. You may use AI for planning, idea development, and research. Your final submission should demonstrate how you have developed and refined these ideas in accordance with the assessment guidelines available on Moodle.
Your task in this assessment is to conduct quantitative data analysis and discuss your analysis findings from a marketing researcher's perspective. You will be provided a dataset in Week 9, and for this dataset, you will:
- Examine the demographic profiles.
- Test the associations between required variables.
- Discuss the marketing implications of the analysis findings.
Please pay attention to the following details on presentation and submission methods:
- This assessment should be submitted in a single Word document, and has a word limit of 600-1200.
- This assessment requires a minimum of 5 academic references (recent and relevant journal articles, and books).
- Penalties for late submission are applied as per CQU policy.
- If you need to submit an assessment extension request, you can only apply through the unit Moodle site at least 24 hours before the deadline ends.
- For details about the marking criteria, please read the marking rubric that is to be available on the Moodle site.
- Any assessment with a ‘Turnitin’ score of more than 25% will be checked by the marker and unit coordinator for potential plagiarism issue, although it may not necessarily mean that you have plagiarised. If there is a substantial similarity score in the ‘Turnitin’ report, your assessment could be forwarded to an appropriate office/authority.
Week 12 Friday (6 June 2025) 11:00 pm AEST
Penalties for late submission are applied as per CQU policy.
As this unit has no exam, the formal results for this last piece of assessment can only be released to students on the Certification of Grades date (11 Jul 2025).
- Data analysis - Examining the demographic profiles - 10 marks
- Data analysis - Testing the associations between required variables - 10 marks
- Discussion of the marketing implications - 10 marks
- Writing style and referencing - 10 marks
- Total - 40 marks
- Discuss marketing research and analytics in theory and practice
- Evaluate various marketing web analytics tools and techniques
- Apply effective data analysis techniques in digital and traditional marketing research
- Effectively communicate marketing research concepts, results and analysis.
- Communication
- Problem Solving
- Critical Thinking
- Information Technology Competence
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.
What can you do to act with integrity?
