Module overview
The aim of this module is to provide an introduction to the finite-population inference and modelling approaches for survey data.
Linked modules
STAT6133 OR STAT6135
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Estimate model parameters and assess the estimation errors, considering the sampling design features (i.e., weighting, stratification, and clustering).
- Use basic weighting and imputation approaches for compensation of missing observations
- Demonstrate knowledge and understanding of the design and selection of a sample from a finite population.
- Estimate finite population parameters, e.g. totals and means, for some standard sampling schemes.
- Assess estimation errors
- Demonstrate knowledge and understanding of the principles of modelling with survey data
- Use the statistical software STATA or R
Syllabus
Design-based Framework
Model-based Framework
Regression Modelling
Testing and Model Selection
Logistic Regression and Log-linear Models
Nonresponse – Re-weighting & Imputation
Learning and Teaching
Teaching and learning methods
The course comprises a series of classroom lectures intertwined with individual study and computer lab sessions where the students are expected to put in practice the topics presented in class.
| Type | Hours |
|---|---|
| Teaching | 40 |
| Independent Study | 110 |
| Total study time | 150 |
Resources & Reading list
Textbooks
W.G.Cochran (1977). Sampling Techniques. New York: Wiley.
Lohr, S. (2010). Sampling: Design and Analysis. Brooks/Cole.
C.E.Sarndal, B.Swensson, J.H.Wretman (1992). Model Assisted Survey Sampling. New York: Springer.
C.E.Sarndal and S.Lundstrom (2005). Estimation in Surveys with Nonresponse. Chichester: John Wiley & Sons.
Skinner, C.J., Holt, D. and Smith, T.M.F. (eds.) (1989). Analysis of Complex Surveys. Chichester: John Wiley.
Chambers, R.L. and Skinner, C.J. (eds.) (2003). Analysis of Survey Data.. Chichester: John Wiley.
S.G.Heeringa, B.T.West, and P.A.Berglund (2010). Applied Survey Data Analysis. New York: Chapman & Hall/CRC Press.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Coursework | 50% |
| Exam | 50% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
Repeat Information
Repeat type: Internal & External