MGX4200 · Data analysis for organisational research

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

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

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

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.

Student experience, not official rules. Nothing here changes what the Handbook says.