Quantitative Methods II builds upon the material learnt in Quantitative Methods I and introduces students to some commonly used statistical methods for analysing data.
Aims and Objectives
Having successfully completed this module you will be able to:
- Demonstrate knowledge and understanding of core methods of regression modelling.
- Analyse quantitative data using SPSS.
- Select appropriate statistical methods in order to answer specific research questions.
- Conduct, interpret and report statistical analyses. Critically evaluate the results of such analyses.
The course covers logistic regression and other models for categorical data. Indicative topics include: binary response variables, the linear probability model, probabilities and odds, the logistic regression model, model interpretation, model selection, multinomial logistic regression, models for ordinal data, and log-linear models. The final part of the module covers a short introduction to the data reduction methods of principal component analysis and factor analysis.
Learning and Teaching
Teaching and learning methods
If full face-to-face teaching has not been resumed, teaching will be delivered by a mixture of synchronous and asynchronous online methods, which may include a combination of lectures, tutorials and computer workshops. A range of resources will also be provided for further self-directed study. Face-to-face teaching opportunities will be explored depending on circumstances and feasibility.
|Total study time||100|
Resources & Reading list
Software requirements. You will require access to SPSS, which is available on the University’s computer workstations and can be downloaded to your own computer for use with your studies.
Manly, B. F. J. (2005). Multivariate Statistical Methods: a Primer. Chapman and Hall/CRC.
Hosmer, D. W. and Lemeshow, S. (2000). Applied Logistic Regression. Wiley.
Field, A. (2009). Discovering Statistics Using SPSS. London: Sage.
Agresti, A. (2007). An Introduction to Categorical Data Analysis. New York: Wiley.
The module will be assessed through coursework.
This is how we’ll formally assess what you have learned in this module.
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Repeat type: Internal & External