Course unit details:
Quantitative Research
| Unit code | EVDV70022 |
|---|---|
| Credit rating | 15 |
| Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
| Available as a free choice unit? | No |
Overview
The aim of this unit is to introduce the use, application and possibilities of quantitative research. More specifically, the module aims to:
- Foster an awareness of the principles of quantitative data collection, coding and analysis;
- Develop an understanding of statistical analysis and modelling;
- Develop practical skills in analysing quantitative data;
- Enable students to present quantitative data analysis visually;
- Develop quantitative-based research proposals;
- Enable students to review and critique quantitative and mixed-methods based research articles.
The unit will allow you to implement research projects using experimental, questionnaire and survey data. Data will be analyzed using the R statistical package with a substantial part of the course devoted to hands-on experience of analyzing real-world data. In addition, the course will introduce a range of specialized analytical techniques from a number of academic disciplines.
Recommended reading
Agresti, A. (2018). Statistical Methods for the Social Sciences (5th edition). Pearson.
Crawley, M. J. (2013) R Book. 2nd ed. Wiley.
Fox, J. (2016). Applied Regression Analysis and Generalized Linear Models. Sage Publications Inc.
Fox, J and Weisberg, S. (2011). An R Companion to Applied Regression (2nd edition). Sage Publications.
Hutcheson, G. and Sofroniou, N. (2010) Multivariate Social Scientist. London: SAGE Publications Ltd.
Hutcheson, G. D. and Moutinho, L. A. M. (2008) Statistical Modeling for Management. London.
Tufte, E. R. (2001). The Visual Display of Quantiative Information (2nd edition). Graphics Press. Cheshire, Connecticut.