Data Analysis and Management unit (BAA405)

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 theirrespective contributions, discretely and in combination, to knowledge development through empirical research. 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. 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, a computer software program for qualitative data analysis.

Summary

Unit name	Data Analysis and Management
Unit code	BAA405
Credit points	12.5
College/School	Tasmanian School of Business and Economics
Discipline	Management
Coordinator	Doctor Saeed Loghman
Delivered By	University of Tasmania
Level	Honours

Learning Outcomes

• Develop and justify research questions and hypotheses
• Apply principles of qualitative data analysis and quantitative data analysis
• Apply conventions for reporting analyses and results from qualitative data analysis and quantitative data analysis
• Derive evidence-based conclusions from data analysis

Fee Information

Field of Education	Commencing Student Contribution 1,3	Grandfathered Student Contribution 1,3	Approved Pathway Course Student Contribution 2,3	Domestic Full Fee 4
			not applicable

¹ Please refer to more information on student contribution amounts.
² Please refer to more information on eligibility and Approved Pathway courses.
³ Please refer to more information on eligibility for HECS-HELP.
⁴ Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Concurrent Prerequisites

BAA4xx Designing Research

Mutual Exclusions

You cannot enrol in this unit as well as the following:

BMA418, BAA710

Teaching

Teaching Pattern	The unit will be taught in two modules. In both modules, the first week will be an intensive teaching week with module content delivered using a flipped classroom mode. Students will be provided with recorded lectures and demonstration videos. These will be supplemented by workshops in which students can get additional assistance. Module 1 (NVIVO) – 3 x 3-hour on-campus or online workshops (Wk 1),  drop-in online consultation sessions (Wks 1-3); Module 2 (SPSS) – 3 x 3-hour on-campus or online workshops (Wk 4),  drop-in online consultation sessions (Wks 4-6).
Assessment	Research Report 1 (50%)|Research Report 2 (50%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

Required

Critical readings on qualitative and quantitative data analysis and management will be supplied. In addition, the publications listed below are highly recommended for further reading on the topics covered in the unit. There is no prescribed text for the unit.

Recommended

Quantitative Data Analysis and Management Field, A 2024, Discovering statistics using IBM SPSS Statistics (6th edn), Sage, London. Field, A 2022, An adventure in statistics: the reality enigma (2nd edn), Sage, London. Pallant, J 2020, SPSS survival manual: a step by step guide to data analysis Using IBM SPSS (7th edn), Routledge, London. Qualitative Data Analysis and Management Bazeley, P 2013, Qualitative data analysis: practical strategies. Sage, London. Bazeley, P & Jackson, P 2013, Qualitative data analysis with NVivo, 2ndedn, Sage, London. Cresswell, JW 1998, Qualitative inquiry and research design: choosing among five traditions, Sage, Thousand Oaks. Richards, L 2015, Handling qualitative data, 3rdedn, Sage, London.

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