COURSE CONTENT
COURSE TITLE: SAMPLING METHODS
COURSE CODE: STA 2203
COURSE CONTENT
· Definition of terms and concepts
· Objectives of the survey
· Data collected
· Methods of measurement
· Sampling frame, types of sampling frames and sampling defects.
Ø Sampling theory
· Types of samples (non-random and random samples)
Ø survey design
· types of surveys
· census versus sample surveys
· advantages and disadvantages of censuses and surveys.
· Organization of surveys
Ø Desirable properties of estimators
· Unbiasedness
· Efficiency, mean square error
· Sufficiency
· Consistency
Ø Errors in surveys
· Sampling errors, their causes and remedies
· Non-sampling errors, causes and remedies
Ø Sampling procedures/ techniques
· With replacement and without replacement
· Computation of means and variances
· Regression and ratio estimators
· Sample size determination
ii. Stratified sampling
· Definition
· Basis of stratification
· Sample selection (proportionate allocation, optimum allocation)
· Means and variances
iii. Systematic sampling
· Definition
· Advantages and disadvantages
· Mean and variance computation
iv. Cluster sampling
· Definition
· Advantages and disadvantages
· Cluster selection
v. Multi-stage cluster sampling
· Intra-cluster correlation
· Design effect
· Sample selection procedures
· Application
REFERENCES
· Survey sampling by Leslie Kish
· Sampling techniques by Cochran
· The statistical analysis of time series by Anderson
· Survey methods in social investigation by C.A Moser and G. Kalton
· Sample surveys with special reference to Africa by Prof. Ben Kiregyera
· Survey methods and practices; statistics Canada (2003).
Statistics in practice, sample surveys; Duke Energy.