Module overview
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- recognise the means by which theory may be developed and linked to the range of techniques used for interpreting and writing about the findings derived from quantitative research data.
- Demonstrate critical awareness of a wide range of methods for the collection and analysis of quantitative data;
- employ appropriate techniques for the systematic analysis and interpretation of sources of quantitative data associated with the range of methods studied;
- Understand the principles of sound research design which enable robust collection of data associated with the range of quantitative methods studied;
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Teaching | 7 |
Independent Study | 93 |
Total study time | 100 |
Resources & Reading list
General Resources
Software. SPSS quantitative data analysis software and Amos (for factor/path analysis and Structural Equation Modelling) is available for download via the iSolutions Software download pages. Other similar software tools to support the analysis of quantitative data are available (such as STATA, MLwiN, MPlus, RStudio and associated plugins etc) but may require the purchase of a license in order for full functionality to be utilised.
Textbooks
Cohen, L., Manion, L. & Morrison, K (2011). Research methods in education. Abingdon, Oxon: Routledge.
Robson, C. (2002). Real World Research. Blackwell.
Punch, K. & Oancea, A. (2014). Introduction to research methods in education. London: Sage.
Muijs, D (2011). Doing Quantitative Research in Education with SPSS. London: Sage.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Coursework | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Coursework | 100% |