Business Research Methods (9522.1)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | ||
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Business, Government & Law |
Discipline | Study level | HECS Bands |
School Of Management | Level 1 - Undergraduate Introductory Unit | Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Explain the importance of quantitative research methods to business, the differences between quantitative and qualitative data, and identify examples of each type of data;
2. Define and apply the concept of a probability distribution, and explain the properties of different distributions;
3. Differentiate between discrete and continuous probability distributions;
4. Define and apply the concept of a random variable, and differentiate the population from a sample;
5. Describe and identify the different sampling methods, including systematic, stratified random, cluster, convenience, panel, and quota sampling, and identify examples of each;
6. Apply hypothesis testing for testing population parameters using one or two samples;
7. Identify the dependent and independent variables in the linear regression model; and
8. Work with statistical data in a spread sheet environment.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - think globally about issues in their profession
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - be self-aware
3. UC graduates are lifelong learners - evaluate and adopt new technology
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
3cpCorequisites
None.Incompatible units
8732 Problem Analysis & Statistics OR 5123 Business StatisticsEquivalent units
NoAssumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
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Required texts
Quilan, C., Babin, B., Carr, J.C., Griffin, M., & Zikmund, W. (2015). Business Research Methods (1st Ed). London, UK: Cengage Learnng EMEA.
ISBN: 9781473704855
Submission of assessment items
Extensions & Late submissions
MEETING UNIT REQUIREMENTS
In order to pass this unit, students MUST attempt and submit all assignments (inclusive of the quiz, the lit review, the research proposal) and the exam and show evidence that you have met the unit outcomes. Failure to do so will result in a Fail (NC).
Academic integrity
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
MEETING UNIT REQUIREMENTS
In order to pass this unit, students MUST attempt and SUBMIT all assignments (inclusive of the quiz, the lit review, the reseach proposla) and the exam and show evidence that you have met the unit outcomes, Failure to do so will result in a Fail (NC).
Participation requirements
Students are required to attend all lectures, tutorials and laboratory classes.
Students must achieve at least a 50% to contribute toward a passing grade in the unit. All assignments (including quiz, it review, research proposal and exam) must be attempted and submitted to receive a mark in this unit. Failure to do so will result in a Fail (NC).
Students are fully responsibe to check their unit on the online Learning Management system for regular updates.
Required IT skills
Required IT skills for completion of the unit (Word processing, Excel, SPSS etc).
Work placement, internships or practicums
None
- Semester 2, 2018, Online, UC - Canberra, Bruce (179529)
- Semester 2, 2018, On-Campus, UC - TAFE NSW Northern Sydney, St Leonard's (179533)
- Semester 2, 2018, On-Campus, UC - TAFE Queensland, South Bank (179530)
- Semester 2, 2018, On-Campus, UC - Canberra, Bruce (179531)
- Semester 2, 2017, Online, UC - Canberra, Bruce (167757)
- Semester 2, 2017, On-Campus, UC - TAFE Queensland, South Bank (167758)
- Semester 2, 2017, On-Campus, UC - TAFE NSW Northern Sydney, St Leonard's (167761)
- Semester 2, 2017, On-Campus, UC - Canberra, Bruce (167759)
- Flexible Period 10, 2016, Online, UC - Canberra, Bruce (150108)
- Semester 2, 2016, On-Campus, UC - Canberra, Bruce (155420)
- Semester 2, 2016, On-Campus, UC - TAFE Queensland, South Bank (156505)
- Semester 2, 2016, On-Campus, UC - TAFE NSW Northern Sydney, St Leonard's (155429)
- Semester 2, 2016, Online, UC - Canberra, Bruce (152152)