S2E32: Lies, Damned Lies, and Random Samples with Laura Stapleton
Quantitude
00:00
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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