Synopses & Reviews
Modern society has seen a proliferation of surveys and opinion polls based on the techniques of sampling. The results are often widely publicized and cited as a genuine reflection of the populations they are claimed to represent. For this reason, it is vitally important to understand the principles and methods used in survey sampling and the pitfalls that commonly occur. This book provides a concise yet comprehensive treatment of the science of sample surveys. It addresses both statistical methodology and nonstatistical considerations such as practical access to the population of interest, the social acceptability of the inquiry, and personal bias in the formulation and response to questionnaires. In addition to statisticians, the book is intended for investigators in all fields that use surveys in their work, including business, medicine, psychology, sociology, political science, and journalism. It may also serve as a text for a short course for advanced undergraduate or graduate students.
Description
Includes bibliographical references (p. [166]-167) and index.
Table of Contents
1. Introduction
2. Simple Random Sampling
3. Carving Out a Sample Survey
4. Ratios: Ratio and Regression Estimators
5. Stratified Populations and Stratified Simple Random Sampling
6. Cluster and Multi-Stage Sampling
7. Postscript