Survey SamplingAn accessible book on sampling techniques with emphasis on and illustrations from surveys of human populations. Explains how to design and execute valid samples of moderate dimensions and difficulty, avoid selection biases and how to become more adept at evaluating sample results, judge their validity and limits of inference, applicability and precision. Contains numerous practical procedures, the domestic arts of sampling along with its science plus invaluable tricks that are usually learned only in apprenticeship. |
Contents
Basic Concepts of Sampling | 35 |
Stratified Sampling | 75 |
Systematic Sampling Stratification Techniques | 113 |
Copyright | |
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addresses approximately average bias biases boundaries Census cluster sampling coefficient of variation computed correlation cost counties covariance denotes duplicate element sampling element variance example factor formulas frame Hence increase interval interviewer Kish Listing Sheet mean square error methods multistage sampling n₁ noncoverage nonresponse number of dwellings number of elements obtain optimum allocation overall overlap paired selections percent population value primary selections primary units probability sampling problems procedures proportion proportionate sampling random numbers random selection ratio mean regression replacement represent response sample blocks sample design sample dwellings sample mean sampling distribution sampling fraction sampling rates sampling units segments selection probability separate simple random sample situations sizes specific standard error statistics strata stratified sample subclasses subsample survey systematic sample systematic selection U.S. Census Bureau unbiased estimate variable errors weights Y₁ yield zone