S2E32: Lies, Damned Lies, and Random Samples with Laura Stapleton
Quantitude
Different Types of Sampling Issues
This chapter discusses different types of sampling issues that arise in data analysis, including simple random sampling, stratified sampling, multi-stage sampling, snowball sampling, and respondent-driven sampling. It explains the importance of understanding the population of inference and creating a sampling frame. The chapter also explores the concepts of stratified sampling, sampling weights, non-response adjustment, design-based and model-based approaches in survey sampling.
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