| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor, Lecturer
Jie Meng
Contact via jie.meng@mq.edu.au
E4A 521
To be announced on iLearn
Tutor
Alex Belli
Contact via Email
TBA
TBA
Tutor
Chaminda Wijethi Namhele Wijethilake Mudiyanselage Gedara
Contact via Email
TBA
TBA
Tutor
Jennifer Lai
Contact via Email
TBA
TBA
Tutor
Trisha Koslow
Contact via Email
TBA
TBA
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|---|---|
| Credit points |
Credit points
3
|
| Prerequisites |
Prerequisites
MKTG101
|
| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit reviews the quantitative research techniques acquired in earlier units and introduces some qualitative methods. New and emerging research methods also are presented. The unit concentrates on the application of primary research techniques to problems confronting marketing managers in strategic and operational situations. While the emphasis is on applications, students will be expected to be able to appreciate the differences in techniques and to be able to select appropriate methodologies that will produce relevant information for decision making. The focus will be on placing research methodology into a decision-making context.
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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:
| Name | Weighting | Due | Groupwork/Individual | Short Extension | AI assisted? |
|---|---|---|---|---|---|
| Assignments | 40% | Weeks #4, #7, #12 | No | ||
| Class test | 10% | Weeks #6 | No | ||
| Assessed Coursework | 10% | Friday Midnight Week #10 | No | ||
| Final Examination | 40% | University Examination Period | No |
Due: Weeks #4, #7, #12
Weighting: 40%
Groupwork/Individual:
Short extension 3: No
AI assisted?:
Submission
Online submission through iLearn in three parts:
Extension and penalties:
No transfer of marks from these assessments to the final exam.
Due: Weeks #6
Weighting: 10%
Groupwork/Individual:
Short extension 3: No
AI assisted?:
In-class online test (Week 6), in tutorial period (10%).
Extension and Penalties:
No extensions will be granted. Students who have not submitted the task prior to the deadline will be awarded a mark of 0 for the task, except for cases in which an application for Disruption of Studies is made and approved.
Students must finish all the iLearn weekly quizzes before week 6 tutorial to progress to the quiz link. Failure to do so will cause a individually-processed deferred quiz invigilated by unit convenor in another time.
No transfer of marks from this assessment to the final exam.
Due: Friday Midnight Week #10
Weighting: 10%
Groupwork/Individual:
Short extension 3: No
AI assisted?:
PeerWise is a place for students to create, share and evaluate assessment questions with their classmates. This service is external to iLearn, and requires a separate log-in procedure.
10 marks are awarded for contribution to the PeerWise service by writing, answering, commenting, rating questions that are related with the theories and practices in marketing research. More details are provided on the unit website.
Extension and Penalties:
No extensions will be granted for this PeerWise activities. Students who have not submitted the task prior to the deadline will be awarded a mark of 0 for the task, except for cases in which an application for Disruption of Studies is made and approved.
Contents created by students are supervised and awarded with badges of appropriate types, which earns students up to 10 marks. Irrelevant questions and comments will be deleted by unit convenor.
No transfer of marks from these assessment tasks to the final exam.
Due: University Examination Period
Weighting: 40%
Groupwork/Individual:
Short extension 3: No
AI assisted?:
A combination of Short-Answer and MCQ designed to test your understanding and application of all parts of the unit.
Prescribed text:
Cengage Bundle: Zikmund, D'Alessandro, Winzar, Lowe & Babin (2014) Marketing Research: 3rd Cengage: ISBN-10: 0170236021 ISBN-13: 9780170236027
Recommended texts:
These texts can be purchased from the Macquarie University Co-op Bookshop.
They are also available in the Macquarie Library.
Unit Web Page
This unit is taught using lectures and tutorials.
Students are expected to read in advance of lectures, and participate in all lecture presentations. There is also an applied marketing research project assisting students to apply concepts introduced in course to the marketing environment. This will be introduced within the lecture presentations.
A few changes are made to this unit since S1 2015:
1) A list of project topics is provided in S2,2015 for students' discussion and selection;
2) Timetable of weekly teaching activities has been updated in accordance with the university calendar.
Week |
Topic |
Reading |
Notes/ tutorial activities |
|
1 |
Course Introduction Marketing Research |
Ch. 1 |
No tutorials this week. |
|
2 |
Aiming for the Goal: the Research Report and Research Process |
Ch. 2,16 |
Introduction and group formation. Observation and interview techniques. |
|
3 |
Types of Data and Exploratory Research |
Ch. 3, 4 |
Interviews & Focus Groups |
|
4 |
Survey Technique and Projective Method
|
Ch. 5, 6 |
Projective techniques Individual Task: Progress Report A - Qualitative Research Summary due in iLearn: Midnight Friday 21 Aug. |
|
5 |
Causal Research and Experiment |
Ch. 7 |
Print and bring your Progress Report A to class and exchange it for peer assessment and discussion in tutorial. |
|
6 |
Questionnaire Design |
Ch. 8, 9 |
In-Class Quiz in tutorials: 1 Sep - 4 Sep. |
| 7 |
Sampling Technique
|
Ch.10 |
Linking Research Questions and Hypotheses with Measurement. Group Task: Progress Report B - Quantitative Research Proposal is due in iLearn: Midnight Friday 12 Sep. |
|
|
Semester Break |
|
|
|
8 |
Data Editing & Coding |
Ch.11 |
Print and bring your Progress Report B to class and exchange it for peer assessment and discussion in tutorial. Univariate Statistics: Qualtrics Output |
|
9 |
Data Analysis Part I |
Ch.12 |
Summarising data with SPSS and Excel |
|
10 |
Data Analysis Part II |
Ch.13 |
Univariate Statistics: Qualtrics Output PeerWise Activities due on Midnight Friday, 16 Oct. |
|
11 |
Data Analysis Part III |
Ch.14 |
Bivariate Statistics in SPSS. |
|
12 |
Data Analysis Part IV Review of semester to date. |
Ch.15 |
Multivariate Statistics in SPSS. Group Project Final Research Report due in iLearn: Midnight Friday 30 Oct. |
|
13 |
Examination Review and Preparation |
All chapters |
Exam Preparation and Peer Contribution Review |
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Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
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Grade descriptors and other information concerning grading are contained in the Macquarie University Grading Policy which is available at:
http://www.mq.edu.au/policy/docs/grading/policy.html
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