MGX4200 Data analysis for organisational research
Faculty of Business and Economics
MGX4200 Data analysis for organisational research is a level 4, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2024 in Semester 2 at Caulfield. It has no prerequisites.
- Credit points
- 6
- Offered in 2024
- Semester 2
- Caulfield
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before MGX4200
Prohibitions
You can't enrol if you have passed any of these.
After MGX4200
No unit lists MGX4200 as a prerequisite in the 2024 handbook.
Enrolment rules
You must be enrolled in course B3701 to undertake this unit.
Overview
Graphical and multivariate data analysis techniques to communicate information derived from large scale survey data. Desktop and mainframe information technology is integrated to analyse data from various surveys. Teaching strategies include weekly workshop sessions dealing with the principles of data analysis; practical computer laboratory sessions; individual and team-based exercises.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Caulfield | On campus |
Assessment
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
select and conduct preliminary analyses of data in order to assess their suitability for further analysis
- 2
demonstrate proficiency in the use of data analytic software such as SPSS
- 3
analyse data using quantitative and qualitative techniques (e.g. content, thematic analysis) in order to answer research questions and/or test hypotheses
- 4
demonstrate proficiency in interpreting and reporting the results/findings obtained from qualitative and quantitative data analytic techniques
- 5
demonstrate knowledge or skills for crafting sustainable futures for people, organisations, communities, and/or the environment.
Workload and teaching
- Tutorials36 hours
- Teaching approachResearch activities
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit allows you to develop your research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Learning resources
Required resources
Pallant, J. (2016). SPSS Survival Manual (6th ed.) Sydney, Allen & Unwin
Contacts
- Chief Examiners
- Associate Professor Ross Donohue
Common questions
What are the prerequisites for MGX4200?
MGX4200 has no prerequisites, but enrolment rules apply.
When is MGX4200 offered?
In 2024, MGX4200 runs in Semester 2 at Caulfield.
How much work is MGX4200?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does MGX4200 have an exam?
No. MGX4200 has 1 assessment task and no exam.