Aims and objectives
Aims
This module sets out the major kinds of error encountered in demographic data, and describes the essential investigations that should be conducted in the evaluation of these data
Objectives
After completing this module you will be able to
- Explain the difference between random and systematic error in data collection
- Explain the difference between measurement and sampling error in data collection
- Explain what is meant by precision, accuracy and validity
- Outline the kinds of error that might be introduced into the data post-collection
- Describe the basic investigations that might be pursued in the analysis and diagnosis of error in demographic data