Quantitative Methods II

Module overview

Quantitative Methods II builds upon the material learnt in Quantitative Methods I and introduces students to some commonly used statistical methods for analysing data.

Linked modules

Pre-requisites: RESM6004

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.

Study time
Type	Hours
Independent Study	80
Teaching	20
Total study time	100

Resources & Reading list

General Resources

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.

Textbooks

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.

Agresti, A. (2007). An Introduction to Categorical Data Analysis. New York: Wiley.

Field, A. (2009). Discovering Statistics Using SPSS. London: Sage.

Assessment

Assessment strategy

The module will be assessed through coursework.

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Repeat Information

Repeat type: Internal & External