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Introduction to survey sampling

By: Material type: TextTextPublication details: Beverly Hills Sage PublicationsDescription: 96 pages ; 22 cmISBN:
  • 9780803921269
Subject(s): DDC classification:
  • 001.433 KAL-I
Contents:
1. Introduction -- 2. Simple random sampling -- 3. Systematic sampling -- 4. Stratification -- Proportionate stratification -- Disproportionate stratification -- Choice of strata -- 5. Cluster and multistage sampling -- 6. Probability proportional to size sampling -- 7. Other probability designs -- Two-phase sampling -- Replicated sampling -- Panel designs -- 8. Sampling frames -- Missing elements -- Clusters -- Blanks and foreign elements -- Duplicate listings -- 9. Nonresponse -- 10. Survey analysis -- Weights -- Sampling errors -- 11. Sample size -- 12. Two examples -- A national face-to-face interview survey -- A telephone interview survey -- 13. Nonprobability sampling -- 14. Concluding remarks -- References --
Summary: 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. The author 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.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 001.433 KAL-I (Browse shelf(Opens below)) Available DCB2138

1. Introduction -- 2. Simple random sampling -- 3. Systematic sampling -- 4. Stratification -- Proportionate stratification -- Disproportionate stratification -- Choice of strata -- 5. Cluster and multistage sampling -- 6. Probability proportional to size sampling -- 7. Other probability designs -- Two-phase sampling -- Replicated sampling -- Panel designs -- 8. Sampling frames -- Missing elements -- Clusters -- Blanks and foreign elements -- Duplicate listings -- 9. Nonresponse -- 10. Survey analysis -- Weights -- Sampling errors -- 11. Sample size -- 12. Two examples -- A national face-to-face interview survey -- A telephone interview survey -- 13. Nonprobability sampling -- 14. Concluding remarks -- References --

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. The author 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.

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