Faculty of Humanities & Social Sciences, Unit Catalogue 2009/10
XX50135: Quantitative methods 2
|Supplementary Assessment:||Like-for-like reassessment (where allowed by programme regulations)|
|Requisites:||Before taking this unit you must take XX50134|
Aims & Learning Objectives:
This is an intermediate/advanced course on statistical analysis for postgraduate students following on from Quantitative Methods 1. The aim of the course is to provide students with a critical understanding of the strengths and weaknesses of statistical analysis alongside a detailed knowledge of particular statistical techniques. By the end, the unit will equip students with the skills to contribute to research projects.
Objectives: By the end of the course the students should be able to: Knowledge and understanding:
* Understand the basic principles of statistical analysisIntellectual skills
* Appreciate the strengths and weakness of statistical inquiry
* Interpet the results from chi square tests, t-tests and ANOVAs
* Be able to use, model and interpret correlation, simple linear regression and multiple regression analyses
* Be able to use one or more of a range of advanced statistical techniques including: regression analyses, time series, path analysis, cluster analysis, factor analysis
* Be able to use SPSS to carry out statistical analysis. Professional practice skills:
* Acquire computing skills.
The course will provide a critical appreciation of statistical analysis as well as covering issues of intermediate and advanced statistical techniques of data analysis. Students will have instruction in both a classroom and a computer lab to build on their prior knowledge of descriptive and inferential statistics. They will use SPSS for windows to apply the techniques they learn in the classroom to analyse data.