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Book
Graham Kalton · 1983
A foundational text on survey sampling methods and design, covering probability sampling techniques, practical considerations, and applications in social science research. Written in an accessible, pedagogical style for researchers and practitioners rather than statisticians.
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What this book knows
Survey sampling works only when design choices—stratification, clustering, weighting—are made deliberately and understood by researchers, not left to statisticians alone.
mind-and-cognition
researchers directing and using surveys for substantive purposes should have at least a reasonable grasp of sampling principles
PA_INTRODUCTIONTOSURVEYSAMPLINGQUANTITATIVE-RC-002reliance has to be placed on the properties of the estimator on average over repeated applications of the sampling method
PA_INTRODUCTIONTOSURVEYSAMPLINGQUANTITATIVE-RC-008the sample size is usually determined from a rough-and-ready assessment of survey costs relative to the level of precision that will result
PA_INTRODUCTIONTOSURVEYSAMPLINGQUANTITATIVE-RC-070standard error formulae should not be applied uncritically with other sample designs, for which they may produce overestimates or underestimates
PA_INTRODUCTIONTOSURVEYSAMPLINGQUANTITATIVE-RC-062work-as-meaning
the sample should be more spread across clusters the greater the cluster homogeneity, the greater the element cost, and the smaller the cluster cost
ISG-RC-027a highly readable text that will be understandable to those with a reasonable grasp of elementary statistics, carefully illustrated
ISG-RC-002Illuminates
6 published passages · book excerpt · research analysis
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