Hobart
This unit has been discontinued.
Introduction
Students will acquire the skills and techniques required to analyse and manage data, interpret results, and report data analysis methods and findings in a business environment. Qualitative and quantitative research approaches are examined to consider their respective contributions, discretely and in combination, to knowledge development through empirical research.
The qualitative component examines principles and techniques for organising, analysing and reporting qualitative data. The central principle of this component is the execution of rigorous qualitative data analysis through ‘good housekeeping’ – undertaking, recording and demonstrating careful, rational decision-making in qualitative data analysis (Marshall, 1999). Consequently, strategies for undertaking and reporting analysis of qualitative data are equally emphasised. Strategies for data analysis will include techniques for organising, searching, retrieving and interpreting qualitative data to develop and test theoretical conclusions. Strategies for reporting analytical processes will incorporate techniques for recording and describing data analysis, including the articulation of theoretical conclusions and the use of qualitative data to illustrate and support conclusions drawn. Data analysis processes will be undertaken using NVivo 12 for Windows (Start and Pro versions), a computer software program for qualitative data analysis.
The quantitative component covers basic statistical thinking and data analysis techniques. A strong emphasis will be placed on the logic underlying statistical concepts such as probability and probability distributions, normal distribution, sampling distributions, parameter estimation, and hypothesis testing. A range of data analysis techniques will also be covered, including t-test, Analysis of Variance, cross tabulation, regression, correlation, and factor analysis. There is a strong emphasis on the application of statistical techniques to practical research problems in a business context. The statistical computer package SPSS will be used for the statistical analysis of data.
Summary 2021
| Unit name | Data Analysis and Management |
|---|---|
| Unit code | BMA418 |
| Credit points | 12.5 |
| Faculty/School | College of Business & Economics Tasmanian School of Business and Economics |
| Discipline | Management |
| Coordinator | |
| Level | Honours |
| 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.
Special approval is required for enrolment into TNE Program units.
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).
Fees
Requisites
Prerequisites
BMA401 or BFA410 for Honours students or enrolment in X5A Graduate Certificate in Research
Mutual Exclusions
You cannot enrol in this unit as well as the following:
BMA417
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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