Taught Unit 9 (OWT.509): The Production of Managerial Knowledge III: Quantitative Methods in Management Practice
Term 3 – 5 weeks (intensive teaching)
The purpose of this course is to provide students with key quantitative techniques and their applications within the context of a questionnaire-based survey focusing on an aspect of management research. The main quantitative methods to be covered are: descriptive data analysis, statistical relationships (correlation and regression analysis), hypothesis testing, data reduction analysis (factor analysis) and data classification analysis (discriminant analysis).
The course will be taught via a mixture of lectures, computer workshops and a survey exercise including design, data collection, analysis, interpretation and presentation of results. Examples will be drawn from several research areas across the various departments in the Management School. The computing laboratory sessions are aimed at introducing students to computer-aided data analysis using the relevant statistical packages.
Introductory reading
V Barnett, (1991), Sample Survey: Principles and Methods, London: Edward Arnold
A Bryman & D Cramer, (1997) Quantitative Data Analysis with SPSS for Windows: a guide for social scientists, London: Routledge.
D Cramer, (1994), Introducing Statistics for Social Research: step-by-step calculations and computer technique using SPSS, London: Routledge.
M Easterby-Smith, R Thorpe and A Lowe, (1991) Management Research: An Introduction, London: Sage.
J Hussey & R Hussey, (1997), Business Research: A practical guide for undergraduate and postgraduate students, London: Palgrave.
