Introduction to Survey Sampling

Klappentext 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. Zusammenfassung Reviews the sampling methods used in surveys such as 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. Inhaltsverzeichnis Introduction Simple Random Sampling Systematic Sampling Stratification Cluster and Multistage Sampling Probability Proportional to Size Sampling Other Probability Designs Sampling Frames Nonresponse Survey Analysis Sample Size Two Examples Nonprobability Sampling Concluding Remarks

Product details

• Authors: Kalton Graham, Graham Kalton, Graham G. W. Kalton
• Assisted by: Graham Kalton (Editor)
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 07.12.1983
• EAN: 9780803921269
• ISBN: 978-0-8039-2126-9
• No. of pages: 96
• Series: Advances in Political Science; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Sociology