Introduction to Survey Sampling / Edition 1

by Graham Kalton

Overview

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.

Product Details

ISBN-13:	9780803921269
Publisher:	SAGE Publications
Publication date:	09/01/1983
Series:	Quantitative Applications in the Social Sciences , #35
Edition description:	Older Edition
Pages:	96
Product dimensions:	5.50(w) x 8.50(h) x 0.20(d)

Table of Contents

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

Editorial Reviews

This book is a second revision of what will continue to be the classic short treatment of the subject.

Victor Ferreros

This updated edition is a welcome addition to the field of survey sampling. Kalton provides a

concise and accessible approach to the design of complex sample surveys. New or expanded

topics address sampling challenges in an online world, issues of missing data, variance estimation

and adaptations of sampling methods for hard-to-reach populations. I’m looking forward to using

this 2nd edition in my sampling course!”

Ann A. O’Connell

A wonderful resource for professionals who utilize survey sampling methodology. It provides indepth

information for readers on ways to improve survey schemes.

Joseph C. Kush

This updated edition is a welcome addition to the field of survey sampling. Kalton provides a

concise and accessible approach to the design of complex sample surveys. New or expanded

topics address sampling challenges in an online world, issues of missing data, variance estimation

and adaptations of sampling methods for hard-to-reach populations. I’m looking forward to using

this 2nd edition in my sampling course!”

Ann A. O’Connell