MRes Criminology (Social Statistics) / Course details
Year of entry: 2023
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Course unit details:
Complex Survey Designs and Analysis
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 2|
|Offered by||Social Statistics|
|Available as a free choice unit?||Yes|
This course provides an insight into the design and methodological issues for the analysis of complex surveys. It also introduces analytical methods and software for handling complex datasets.
|Unit title||Unit code||Requirement type||Description|
|Introduction to Statistical Modelling||SOST70011||Pre-Requisite||Recommended|
The students should have some familiarity with survey research and statistical modelling. A pre-requisite of the course is: Introduction to Statistical Modelling (ISM - SOST70011).
This course provides an insight into the design and methodological issues for the analysis of complex surveys. It also introduces analytical methods and software for handling complex survey datasets.
At the end of this module, students should be able to:
- Understand methodological concepts in survey design, estimation and adjusting for nonresponse.
- Assess the strengths and weaknesses of complex survey designs and the resulting secondary survey data.
- Assess how aspects of survey design will impact on the analysis.
- Understand and apply multilevel and longitudinal models with complex survey data.
- Use STATA (and other) software to analyse complex survey data.
- Understand the difference between model-based and design-based approaches to handling complex survey designs.
Teaching and learning methods
A combination of lecture, tutorials and computer clusters (average 3 hour per week online and on campus)
|Written assignment (inc essay)||85%|
The assessment for this module will be based on three mini quizzes worth 5% each (15%) and one piece of coursework of 3,000 words (85%).
There are various opportunities for providing formative feedback on students’ work and questions, for example with BB discussion boards and at tutorials. There are also two integrated formative tasks:
- A modelling exercise with a given dataset (due before Easter break): students are invited to run and present the results of a (multilevel) model with their interpretation via Turnitin. Feedback is provided at individual level and also combined common misunderstandings are shared to resolve confusions and enhance understanding.
- A student presentation of their proposed complex survey design study (Part A of the final assignment) – to get live feedback from teaching team and peers (Week 11 or 12).
- Blair, J., Czaja, R. and Blair, E. (2014) Designing Surveys: A Guide to Decisions and procedures, 3rd edition. CA: Sage Publication.
- Heeringa, S. G., West, B. T, & Berglund, P. A. (2010). Applied Survey Data Analysis. Boca Raton: CRC Press.
- Lehtonen, R. and Pahkinen, E.J. (2004) Practical Methods for Design and Analysis of Complex Surveys, 2nd edition. Chichester: John Wiley & Sons.
- Lohr, S.L. (2009) Sampling: Design and Analysis, 2nd edition. Boston: Brooks/Cole.
- Snijders, T.A.B. & Bosker, R.J. (2012) Multilevel analysis: An Introduction to Basic and Advanced Multilevel Modelling, 2nd edition. London: Sage.
|Scheduled activity hours|
|Independent study hours|
|Maria Pampaka||Unit coordinator|
Compulsory for SRMS
Part time students must take ISM prior to CSDA