Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.

Introduction

Sample surveys are nowadays widely accepted as a means of providing statistical data on an extensive range of subjects for both research and administrative purposes. Numerous surveys have been conducted to develop, test, and refine research hypotheses in such disciplines as sociology, social psychology, demography, political science, economics, education, and public health. Central governments make considerable use of surveys to inform them of the conditions of their populations in terms of employment and unemployment, income and expenditure, housing conditions, education, nutrition, health, travel patterns, and many other subjects. They also conduct surveys of organizations such as manufacturers, retail outlets, farms, schools, and hospitals. Local governments equally make use of surveys for local planning purposes. Market researchers carry out surveys to identify markets for products, ...

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