SOCI 313 Lecture Notes - Lecture 12: Sampling Error, Sampling Frame, Sample Size Determination

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Sampling: the process of choosing sample from the population. 2 types of sampling: probability: uses random selection methods, associated with quantitative methods, non-probability: does not use random selection methods, associated with qualitative research. Sources of bias in sampling: not using a random method to pick the sample, the sampling frame: human judgement that selects one group over another, non-response: some people in the sample fail to participate whch skews the data. Types of probability sample: simple random sample. Each element has the same probability of being selected. Each combination of elements has the same probability of being selected. The main goal of these techniques is to eliminate sources of sample bias. Identifies sample elements strictly on the basis of chance. Drawing a simple random sample: to select a srs. Devise a sampling frame (a list of elements in the population) Number all the elements consecutively starting at 1. Pick a sample size(n) from the total population (n)

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