What do you think?
Rate this book
Introduction to Survey Sampling
Reviews sampling methods used in 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.
96 pages, Paperback
First published September 1, 1983
8 people are currently reading
27 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 3 of 3 reviews
May 9, 2022
This book is the nastiest skank bitch i’ve ever met. DO NOT trust him. He is a fugly slut!!
May 20, 2010
This is a brief but useful introduction to survey sampling. Key question: Who should be interviewed to ensure that the sample, in some manner, represents the larger public?
The book considers the simplest form of sampling--the simple random sample. Often, this is impossible, since we would not have a list of the entire population. However, under certain circumstances it is possible. Other issues of importance, depending on the researcher’s needs: systematic sampling, stratification, and cluster and multistage sampling.
The book also discusses identifying the sampling frame. A universal problem is that--even if we have a good sampling frame and generate a good sample--nonresponse by those identified and approached to be surveyed produces potential biases. What of those who choose not to participate are different than those who do? A bias is automatically introduced. . . .
Other issues: sample size, nonprobability sampling, weighting, sampling error.
The book is not an easy read for someone wanting a quick and dirty introduction to the subject. But it is a helpful resource.
The book considers the simplest form of sampling--the simple random sample. Often, this is impossible, since we would not have a list of the entire population. However, under certain circumstances it is possible. Other issues of importance, depending on the researcher’s needs: systematic sampling, stratification, and cluster and multistage sampling.
The book also discusses identifying the sampling frame. A universal problem is that--even if we have a good sampling frame and generate a good sample--nonresponse by those identified and approached to be surveyed produces potential biases. What of those who choose not to participate are different than those who do? A bias is automatically introduced. . . .
Other issues: sample size, nonprobability sampling, weighting, sampling error.
The book is not an easy read for someone wanting a quick and dirty introduction to the subject. But it is a helpful resource.
Displaying 1 - 3 of 3 reviews