Sociology 2206A/B Lecture Notes - Lecture 5: Sampling Frame, Statistical Parameter, Sampling Error

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Sampling is the process of selecting a subset of cases to draw conclusions of the entire set. Why do we sample: generalization (quantitative research) aka. Info from the sample linked to the population via the sampling distribution: sample sampling distribution population. Mean) across the random samples that could be drawn from a population. Infinite number of samples (different combinations) putting all calculated statistics into a graph forming a sampling distribution. Bell curve: theoretical concept helping us to understand the relationship b/w sample statistics and population parameter, goal is to estimate the parameter of the target population. Ideally, we obtain a sample that would be representative of the target population, the best representative possesses generalizability and transferability. Theoretical sampling: qualitative approach of sampling, point at which no new themes emerge from the data, and sampling is complete, theoretical saturation, varies from case to case.

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