This unit explores the management and analysis of qualitative and quantitative data. Seminars and practical sessions explore the principles and practices of organising and analysing data using software support. The qualitative component explores computer-supported analysis using NVivo. Topics include data formatting, coding, developing and refining node (data category) systems, auditing analytical processes, developing research conclusions, and reporting research methods and results. The quantitative component explores computer supported analysis using SPSS.
Topics include creating and formatting data sets, descriptive statistics, inferential statistics, developing research conclusions, and reporting research methods and results. This unit is designed to support students completing MBA Research or Workplace Project units.
|Unit name||Data Analysis and Management|
|Faculty/School||College of Business & Economics
Tasmanian School of Business and Economics
|Discipline||Tasmanian School of Business and Economics|
Dr Megan Woods
|Available as student elective?||No|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2019.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2020: $1,190.00||2020: $2,702.00||020303|
Fees for next year will be published in October. The fees above only apply for the year shown.
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You cannot enrol in this unit as well as the following:
Delivery over two x three-day teaching blocks.
Please see the unit outline for details.
|Timetable||View the lecture timetable | View the full unit timetable|
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