INTRODUCTION TO SURVEY SAMPLING GRAHAM KALTON PDF

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Instructors: Due to the COVID pandemic and in support of your transition to online learning, requests for complimentary review copies of our textbooks will be fulfilled through our eBooks partner, VitalSource. By providing you with a digital review copy of the requested textbook s , we can ensure you have expedited access to our content. If you require special assistance, please contact us at ext.

Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email sageheoa sagepub.

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Volume: Series: Quantitative Applications in the Social Sciences. Download flyer. Description Contents Preview 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. Preview this book. For instructors Order your digital review copy from: VitalSource.

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Introduction to Survey Sampling

Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. Introduction to Survey Sampling, Second Edition provides an authoritative and accessible source on sample design strategies and procedures that is a required reading for anyone collecting or analyzing survey data. Graham Kalton discusses different types of probability samples, stratification pre and post , clustering, dual frames, replicates, response, base weights, design effects, and effective sample size. It is a thorough revision and update of the first edition, published more than 35 years ago. Although the concepts of probability sampling are largely the same, there have been important developments in the application of these concepts as research questions have increasingly spanned multiple disciplines, computers have become central to data collection as well as data analysis, and cell phones have become ubiquitous, but response rates have fallen, and public willingness to engage in survey research has waned. While most of the volume focuses on probability samples, there is also a chapter on nonprobability samples, which are becoming increasingly important with the rise of social media and the world wide web.

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