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Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples. Sample designs can range from simple, single-stage samples to more complex, multistage samples, each of which may use specialized steps in weighting to account for selection probabilities, nonresponse, inaccurate coverage of a population by a sample, and auxiliary data to improve precision and compensate for coverage errors. The authors provide many examples with Stata code. --
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Der neue „Pokropp“ ist einerseits demjenigen erschließbar, der vom Interesse an der gerade im Bereich der Stichprobentheorie so wichtigen praktischen Anwendung geleitet ist, andererseits liefert er auch das nötige – mathematische – Rüstzeug, um mit der Struktur auch der praktischen Probleme umgehen zu können.
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In chapter 11 of his series on statistics for psychology, Professor Daniel Little focuses on random samples within population groups. Little highlights selecting samples within groups and finding patterns or anomalies in samples to provide insight into an overall population.
Psychology --- Sampling (Statistics) --- Statistical methods. --- Research
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Professor Eric Jensen and Professor Charles Laurie present a thorough introduction to sampling in both qualitative and quantitative research. They discuss various methods, best practices, and pitfalls to avoid to produce consistent and high quality research.
Sampling (Statistics) --- Social sciences --- Research --- Statistical methods.
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Professor Kennon Copeland outlines sampling techniques for survey data collection. He highlights the pros and cons of different methodologies and gives examples of when to use certain approaches.
Sampling (Statistics) --- Social sciences --- Research --- Statistical methods.
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Monte Carlo method --- Digital computer simulation --- Mathematical statistics --- Sampling (Statistics)
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