DATA ANALYSIS

SHE Level 5
SCQF Credit Points 15.00
ECTS Credit Points 7.50
Module Code MML311966
Module Leader n/a
School Glasgow School for Business and Society
Subject Sociology
Trimester
  • B (January start)

Pre-Requisite Knowledge

It is desirable that students have some initial background knowledge in the area of basic statistics and research methods such as would be covered in an undergraduate social sciences degree. Students without such background will be prescribed additional / preparatory reading to supplement the main material of the course.

Summary of Content

The Data Analysis module will focus on strategies and procedures, both quantitative and qualitative, for analysing social data. The module will complement the material on data collection covered in the Research Appreciation module. Though the preferable sequence of progression would be from Research Appreciation to the Data Analysis module, the latter module can stand by itself enabling if necessary students to undertake these modules in either sequence.

Syllabus

Data analysis within the process of social research. Quantitative and qualitative research and analysis - differences & complementarity. Multi-method approachesQuantitative approaches to analysis -Survey & experimental method.Levels of measurement and techniques of quantitative analysis.Data preparation, cleaning & customisation.Exploratory & descriptive methods.Frequency counts, analysis & presentationMultiple responseCrosstabulation and the analysis of tables.Methods with interval data - correlation & regression; analysis of variance.Qualitative approaches to analysisGenerating qualitative data: - observation studies, interviewing, focus groupsDealing with qualitative data - management of non-numerical data, textual analysis, discourse analysis. Computer software in qualitative researchWriting up qualitative research

Learning Outcomes

On completion of the module students will have -* a critical understanding of the issues, procedures, and methods involved in data analysis both quantitative & qualitative;* a grounding in using computer packages for data processing, analysis & presentation;* the ability to judge the most appropriate strategy for analysis in their own research and to choose and develop appropriate techniques & procedures for analysis.

Teaching / Learning Strategy

A mix of contact sessions will be employed. Brief lecture presentations to introduce and review strategies and techniques of analysis will be complemented by workshops and computing labs to gain practical hands-on experience of different techniques.Auxiliary support for the module will be provided via e-mail and a module web site - archiving module materials, providing supplementary documentation, and providing links to useful research methods material on the wider Internet/Web.

Indicative Reading

Denzin, N.K. and Lincoln, Y.S. (eds) (2000) Handbook of Qualitative Research, 2nd edition Beverly Hills, Ca:Sage Publications de Vaus, D. (1995) Surveys in Social Research,. London:Unwin Hyman Devine, F. and Heath, S. (1999) Sociological Research Methods in Context, London: MacmillanFielding, J and Gilbert, N (2000) Understanding Social Statistics, London: Sage Hammersley, M. & Atkinson, P. (1983) Ethnography: Principles in Practice,. London, New York: TavistockHall, D., Hall, I. (1996), Practical Social Research, London: MacmillanKinnear, P. R. and Gray, C.D. (1994) SPSS FOR WINDOWS Made Simple, York :Lawrence Erlbaum AssociatesMorgan, D.L. (1997) Focus Groups as Qualitative Research, London: Sage PublicationsRose, D & Sullivan, O (1993) Introducing Data Analysis for Social Scientists,. London:Open University PressSapsford, R. and Jupp, V. (1996) Data Collection and Analysis,. London: Sage PublicationsSapsford, R. (1999) Survey Research, London: London Sage PublicationsSilverman, D. (2000), Doing Qualitative Research, London: Sage Publications

Transferrable Skills

Ability to handle quantitative data - extract, interpret, and comment on standard computer output.Ability to generate, analyse and synthesise qualitative data. ICT skills in the use of the SPSS data analysis programme in particular, but more broadly also in the use of e-mail and Intranet/ Internet.Skills in report writing including incorporation of tables and use of graphics.Oral and written presentation skills will be developed via a combination of workshop assignments and formal assessments. Independent research skills and team-work skills will be encouraged through a variety of directed activities

Module Structure

Activity Total Hours
Lectures (PT) 12.00
Independent Learning (PT) 84.00
Assessment (PT) 30.00
Practicals (PT) 24.00

Assessment Methods

Component Duration Weighting Threshold Description
Coursework 0.00 20.00 45% Quantitative exercise
Coursework 0.00 20.00 45% Qualitative exercise
Coursework 0.00 60.00 45% Quantitative or Qualitative Report