- Department: The York Management School
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
The module provides an introduction to quantitative and qualitative data analysis.
Occurrence | Teaching period |
---|---|
A | Summer Term 2022-23 |
The module provides an introduction to quantitative and qualitative data analysis.
In terms of quantitative data analysis, the module enables students to understand and apply the principles and techniques of statistical data analysis. It covers the statistical ideas/concepts and theoretical principles underpinning quantitative data analysis as well as the practical aspects and procedures of analysing quantitative data using SPSS (Statistical Package for the Social Sciences). It links the principles and processes of generating quantitative data (including probability sampling, normal distribution, operationalising variables, categories of data and levels/scales of measurement and questionnaire design) with the actual techniques of analysing and interpreting data and producing statistical results. The topics will cover descriptive and inferential statistics such as frequencies, measures of central tendency, graphs and charts, statistical tests, correlation and regression.
In terms of qualitative data analysis the module will enable students to understand and apply all elements of the qualitative data analysis process- assembly, reduction, display and verification. This will involve handling data and organising and structuring it through data coding, and being aware of different qualitative analysis methodologies such as content analysis, thematic analysis, linguistic analysis and grounded theory (amongst other approaches). It will also discuss the presentation of qualitative data analysis in written and visual form. Students will also experience the use of CAQDAS (Computer assisted qualitative data analysis software) such as NVIVO. Finally, students will also consider the ethical implications of qualitative data analysis.
Academic and graduate skills
Subject content
The practical sessions will include:
Task | % of module mark |
---|---|
Essay/coursework | 100 |
None
Task | % of module mark |
---|---|
Essay/coursework | 100 |
A comprehensive module assessment report is released to students after the summer term exam board. Individual written feedback is made available to students at the same time.
Bazeley, P and Jackson, K. (2013) Qualitative Data Analysis with NVivo, Second Edition, Sage Publications.
Belk, R., Fischer, E., and Kozinets, R.V. (2013) Qualitative Consumer & Marketing Research, Sage publications.
Bryman, A and Bell, E – Business Research Methods – Oxford University Press – 2003
Bryman, A – Social Research Methods (3rd edition) – Oxford - 2008
Burnard, P., Gill, P., Stewart, K., Treasure, E and Chadwick, B. (2008) Analysing and presenting qualitative data, British Dental Journal, 204(8), 429-432.
Cassell, C (2015) Conducting Research Interviews, Sage Publications.
Field, A – Discovering Statistics Using SPSS (3rd edition) – Sage – 2009
Harding, J. (2013) Qualitative Data Analysis from Start to Finish, Sage Publications
Neuman, W. Laurence – Social Research Methods: Qualitative and Quantitative Approaches (6th edition) – Pearson - 2006
Bryman, A and Cramer, D – Quantitative Data Analysis with SPSS 14, 15 & 16 A Guide for Social Scientists – Routledge – 2009
Levine, DM, Krehbiel, TC and Berenson, ML – Business Statistics A first course (5th edition) – Pearson – 2006
Oates, C and Alevizou, P. (2018) Conducting Focus Groups for Business and Management Students, Sage Publications.
Sweet, S and Grace-Martin, K – Data Analysis with SPSS – Pearson - 2008
Pallant, J – SPSS Survival Manual: A step by step guide to data analysis using SPSS - Open University Press – 2001
Yockey, R – SPSS Demystified: A Step-by-Step Guide to Successful Data Analysis – Pearson - 2007