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.
- Second semester 2019 (On-campus)
Students must be enrolled in course B3701.
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.
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.
Within semester assessment: 60% + Examination: 40%
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.
See also Unit timetable information