The aim of this module is to introduce you to the statistical aspects associated with the design and analysis of sample surveys, and to develop your understanding of the principles and methods used to design survey sampling schemes. Basic theory underpinning survey inference will be introduced, focussing on methodology for survey-based estimation for population totals and related quantities for some standard sample designs
Note: Pre-requisite for STAT6118.
Aims and Objectives
Having successfully completed this module you will be able to:
- How to assess estimation errors.
- The use of the statistical software STATA.
- Methods for designing and selecting a sample from a population.
- The ability to analyse and solve problems
- How to estimate finite population parameters, e.g. totals and means, for some standard sampling schemes.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- The basic principles underlying survey design and estimation.
The module takes a design-based approach to inference for survey populations. Topics include:
survey estimation strategy, target populations and sampling frames, methods of sampling (probability vs non-probability sampling), simple random sampling, inclusion probabilities, unequal probability sampling, stratified sampling, ratio and regression estimation, systematic sampling, cluster sampling,
Learning and Teaching
Teaching and learning methods
The module consist of lectures, computer workshops, tutorials and independent study. The computer workshops aim to show how to implement the methodology covered in the lectures. There are also tutorials where we go through past exam questions. Students are also expected to read wider than the lecture material as part of their individual study, and to critically appraise different approaches. References are given at the end of some lectures.
|Total study time||150|
Resources & Reading list
Software requirements. You will require access to the STATA software, which is available on the University’s computer workstations. Note that this software is not currently available for download to your own computer for use with your studies.
W. G. Cochran (1977). Sampling Techniques. New York: Wiley.
C. E. Sarndal, B. Swensson, J. H. Wretman (1992). Model Assisted Survey Sampling. New York: Springer.
Lohr, S. (2010). Sampling: Design and Analysis. Brooks/Cole.
Sampling: Design and Analysis. Brooks/Cole.
L. C. Hamilton (2008). Statistics with Stata (Updated for Version 10). Brooks/Cole.
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.
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.
Repeat type: Internal & External