RESM6304 Quantitative Methods I

This module gives a broad introduction to quantitative methods of analysis. Indicative content includes: descriptive statistics, presentation of data using tables and graphs, the Normal distribution, sampling distributions and the central limit theorem, confidence intervals, hypothesis tests for means and proportions, chi-squared test of independence, two sample t-tests, one-way ANOVA, non-parametric tests, correlation and simple linear regression, effect sizes. In addition, some key international and UK data sources will be introduced.

Teaching and learning methods

Teaching will be through a combination of multidisciplinary lectures, tutorials, and computer workshops. Learning activities will include learning in lectures, which will cover explanations of the statistical methods and their use, discussing problems during the tutorials, as well as by independent study. The computer workshops will provide hands-on experience of the analysis of data and the application of the methods introduced in the lectures using SPSS. The course assumes no prior knowledge of statistical methods or SPSS, although pre-reading of Diamond and Jefferies (2001) or Garner (2005) would be of benefit.

Resources & Reading list

Field, A. (2009). Discovering Statistics Using SPSS. 

Diamond, I. and Jefferies, J. (2001). Beginning Statistics. 

Summative

Referral

Repeat Information

Repeat type: Internal