Hobart
Introduction
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.
Summary 2021
| Unit name | Data Analysis and Management |
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| Unit code | BAA710 |
| Credit points | 12.5 |
| Faculty/School | College of Business & Economics Tasmanian School of Business and Economics |
| Discipline | Tasmanian School of Business and Economics |
| Coordinator | |
| Level | Postgraduate |
| Available as student elective? | No |
| Breadth Unit? | No |
Availability
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
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TNE Program units special approval requirements.
* 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).
Learning Outcomes
| ILO1 | Design appropriate research questions. |
| ILO2 | Evaluate and apply the principles of rigorous data analysis including qualitative and quantitative techniques. |
| ILO3 | Construct evidence based conclusions from data analysis. |
Fees
Teaching
| Teaching Pattern | In each module students will be provided with a suite of online materials that will include During the teaching weeks, teaching staff will supplement the online content with real-time interactive teaching sessions. |
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| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required | None |
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