Module ERPM002 for 2021/2
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Postgraduate Module Descriptor
ERPM002: Scientific Methodologies
This module descriptor refers to the 2021/2 academic year.
How this Module is Assessed
In the tables below, you will see reference to 'ILO's. An ILO is an Intended Learning Outcome - see Aims and Learning Outcomes for details of the ILOs for this module.
Formative Assessment
A formative assessment is designed to give you feedback on your understanding of the module content but it will not count towards your mark for the module.
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Design two measurement instruments - investigate score reliability and validity, outline sampling strategy for empirical study, draw up codebook and plan for analysis. | Equivalent to 1,500 words | 1, 2, 3, 4, 11, 12, 13, 14 | Written and verbal |
| A proposal for a small-scale research enquiry and complete the ethical form. | Equivalent to 1,000 words | 1-17 | Written and verbal |
Summative Assessment
A summative assessment counts towards your mark for the module. The table below tells you what percentage of your mark will come from which type of assessment.
| Coursework | Written exams | Practical exams |
|---|---|---|
| 100 | 0 | 0 |
...and this table provides further details on the summative assessments for this module.
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Portfolio, including a written assignment | 100 | 7,500 words in total, including a 5,000 word assignment and two other tasks equivalent to 2,500 words | 1-13, 15-17 | Written |
Re-assessment
Re-assessment takes place when the summative assessment has not been completed by the original deadline, and the student has been allowed to refer or defer it to a later date (this only happens following certain criteria and is always subject to exam board approval). For obvious reasons, re-assessments cannot be the same as the original assessment and so these alternatives are set. In cases where the form of assessment is the same, the content will nevertheless be different.
| Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
|---|---|---|---|
| Portfolio, including a written assignment | Portfolio, including a written assignment (7,500 words. As above) | 1-13, 15-17 | 6 weeks from notification of failure or re-entry onto programme |
Indicative Reading List
This reading list is indicative - i.e. it provides an idea of texts that may be useful to you on this module, but it is not considered to be a confirmed or compulsory reading list for this module.
Bernauer, J., & O'Dwyer, L. (2013). Quantitative research for the qualitative researcher. SAGE, London.
Biddle, S. (1995) Quantitative Data Analysis: An Introduction to Multivariate Statistical Techniques. Exeter University, School of Education.
Black, T.R. (1999) Doing quantitative research in the social sciences - an integrated approach to research design, measurement and statistics. London, Sage.
Bryman, A. & Cramer, D. (1997) Quantitative data analysis with SPSS for Windows: a guide for social scientists.London, Routledge
Buckingham, A. & Saunders, P. (2004) The Survey Methods Workbook. Polity
Burton, D. (2000) Research Training for Social Scientists. Sage.
Cohen, L. and Holliday, M. (1996) Practical statistics for students. London, Paul Chapman.
Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education. Taylor & Francis, England.
Cook, T. and Campbell, D.T. (1979) Quasi experimentation. Chicago, Rand McNally.
Coolidge, F.L. (2000) Statistics. London, Sage.
Cramer, D. (2003) Advanced Quantitative Analysis. OU Press
Field, A. (2017) Discovering Statistics Using IBM SPSS Statistics London, Sage.
Galloway, A. (1997) Questionnaire Design and Analysis. http://www.tardis.ed.ac.uk/~kate/qmcweb/qcont.htm
Oppenheim, A.N. (2000) Questionnaire Design, Interviewing and Attitude Measurement. London, Continuum.
Pallant, J. (2020). SPSS Survival manual: A step by step guide to data analysis using IBM SPSS. Maidenhead, Berkshire, England.
Pears, I. (1996) Statistical Analysis for Educational and Psychological Researchers. London, Falmer Press.
Preece, P.F.W. (1994) Basic Quantitative Data Analysis. Exeter, University School of Education.
Rust, J. and Golombok, S. (1989) Modern Psychometrics. London, Routledge.
StatPac Inc. (2000) Questionnaires, Survey Design, Marketing Research. http://www.statpac.com/surveys/index.htm#toc
Tukey, J.W. (1977) Exploratory Data Analysis. Reading, MA, Addison-Wesley.
