table of contents survey methodology

Module 1: Basic concepts
1) What is survey research and survey statistics
2) Survey life cycle and survey methods
3) Survey methodology
4) Surveys and polls
5) Surveys and Big data
An example: The European Social Survey

Module 2: Assessment of survey data quality
1) Output oriented approaches
a. Total survey error
i. Measurement dimension
1. Construct
a. Construct validity
2. Specification
a. Specification error
3. Measurement
a. Measurement error
4. Response
a. Processing error
ii. Representation dimension
1. Target population
a. Coverage error
2. Sampling frame
a. Sampling error
i. Sampling bias
ii. Sampling variance
*Probability sampling
*Non-probability sampling
3. Sample
a. Non response error
4. Respondents
a. Adjustment error
5. Postsurvey adjustments
b. Mean square error
i. Variable and systematic error/ Bias
1. Variable errors
2. Systematic errors
3. Characteristics of estimators
a. (Un)biased
b. (Im)precise
ii. Observational error and non-observational error
a. Errors of non-observation
b. Errors of observation
2) Process oriented approach
a. Total quality management