Complex samples and survey weights
Why multistage survey data cannot be analysed as a simple random sample.
Slides · Dataset
About 35 minutes to complete
Enrol to open the slides and download the data.
What this module covers
why multistage survey data cannot be analysed as a simple random sample; sampling weights, strata and primary sampling units, and where to find them in a public dataset; design effect and effective sample size; building a Complex Samples plan file in SPSS; running descriptives, crosstabs and regression under the plan; what changes in the output and why the confidence intervals widen; how to report a weighted analysis.
By the end of it
- Why multistage survey data cannot be analysed as a simple random sample
- Sampling weights, strata and primary sampling units, and where to find them in a public dataset
- Design effect and effective sample size
- Building a Complex Samples plan file in SPSS
- Running descriptives, crosstabs and regression under the plan
- What changes in the output and why the confidence intervals widen
- How to report a weighted analysis
The dataset
Simulated national survey of women 15-49 — Sigma teaching dataset
A teaching dataset of 1000 cases, generated from a fixed seed so every figure in the module reproduces exactly.
- CodebookIncluded
- Dataset (CSV)Included
- Dataset (CSV)Included
- SPSS syntaxIncluded