This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

MGX4200 - Data analysis for organisational research

6 points, SCA Band 3, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

Department of Management

Coordinator(s)

Dr Ross Donohue

Offered

Caulfield

Second semester 2016 (Day)

Synopsis

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.

Outcomes

The learning goals associated with this unit are to:

select and conduct preliminary analyses of data in order to assess their suitability for further analysis
demonstrate proficiency in the use of data analytic software such as SPSS
analyse data using qualitative techniques (eg: content, thematic analysis) in order to answer research questions and/or test hypotheses
analyse data using quantitative techniques (univariate, bivariate, multivariate) in order to answer research questions and/or test hypotheses
interpret and report the results/findings obtained from qualitative and quantitative data analytic techniques.

Assessment

Within semester assessment: 60%
Examination: 40%

Workload requirements

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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.