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Book Cover
Book
Author Blair, Edward, 1923- author

Title Applied survey sampling / Edward Blair, Johnny Blair
Published Thousand Oaks, California. SAGE, [2015]

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Location Call no. Vol. Availability
 MELB  300.723 Bla/Ass  DUE 10-05-24
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Description xv, 251 pages : illustrations ; 23 cm
Contents Contents note continued: 5.1.3.Costs Differ Across Strata -- 5.1.4.Prior Information Differs Across Strata -- 5.2.Other Uses of Stratification -- 5.3.How to Draw a Stratified Sample -- 5.4.Chapter Summary -- Exercises and Discussion Questions -- ch. 6 Cluster Sampling -- 6.1.When Are Cluster Samples Appropriate? -- 6.1.1.Travel Costs -- 6.1.2.Fixed Costs -- 6.1.3.Listing Costs -- 6.1.4.Locating Special Populations -- 6.2.Increased Sample Variability as a Result of Clustering -- 6.2.1.Measuring Homogeneity Within Clusters -- 6.2.2.Design Effects From Clustering -- 6.3.Optimum Cluster Size -- 6.3.1.Typical Cluster Sizes -- In-Home Surveys -- Repetitive Studies -- Shopping Mall Studies -- Graduate Student Projects -- Clustering Within Households -- 6.4.Defining Clusters -- 6.5.How to Draw a Cluster Sample -- 6.5.1.Drawing Clusters With Equal Probabilities -- 6.5.2.Drawing Clusters With Probabilities Proportionate to Size -- 6.5.3.Drawing Stratified Cluster Samples --
Contents note continued: 6.6.Chapter Summary -- Exercises and Discussion Questions -- SECTION III ADDITIONAL TOPICS IN SAMPLING -- ch. 7 Estimating Population Characteristics From Samples -- 7.1.Weighting Sample Data -- 7.1.1.Should Data Be Weighted? -- 7.2.Using Models to Guide Sampling and Estimation -- 7.2.1.Examples of Using Models -- 7.2.2.Using Models to Reduce the Variance of Estimates -- Sample Allocation in Stratified Probability Designs -- Cutoff Sampling -- Small Area Estimation -- 7.2.3.Using Models to Cope With Violations of Probability Sampling Assumptions -- Dealing With the Lack of an Adequate Frame -- Dealing With High Nonresponse -- Making Estimates for Nonfinite Populations -- 7.2.4.Conclusions About the Use of Models -- 7.3.Measuring the Uncertainty of Estimates From Complex or Nonprobability Samples -- 7.4.Chapter Summary -- Exercises and Discussion Questions -- ch. 8 Sampling in Special Contexts -- 8.1.Sampling for Online Research --
Contents note continued: 8.2.Sampling Visitors to a Place -- 8.2.1.Selecting Places for Intercept Research -- 8.2.2.Sampling Visitors Within Places -- 8.3.Sampling Rare Populations -- 8.3.1.Telephone Cluster Sampling -- 8.3.2.Disproportionate Stratified Sampling -- 8.3.3.Network Sampling -- 8.3.4.Dual-Frame Sampling -- 8.3.5.Location Sampling -- 8.3.6.Online Data Collection for Rare Groups -- 8.4.Sampling Organizational Populations -- 8.5.Sampling Groups Such as Influence Groups or Elites -- 8.6.Panel Sampling -- 8.6.1.Initial Nonresponse in Panels -- 8.6.2.Differential Mortality Over Time -- 8.6.3.Panel Aging -- 8.6.4.Implications for Panel Sampling -- 8.6.5.Other Issues in Panel Sampling -- 8.7.Sampling in International Contexts -- 8.8.Big Data and Survey Sampling -- 8.8.1.Big Data as a Survey Complement -- 8.8.2.Big Data as a Survey Replacement -- 8.9.Incorporating Smartphones, Social Media, and Technological Changes -- 8.9.1.Smartphones and Surveys --
Contents note continued: 8.9.2.Social Media and Surveys -- 8.9.3.A General Framework for Incorporating New Technologies -- 8.10.Chapter Summary -- Exercises and Discussion Questions -- ch. 9 Evaluating Samples -- 9.1.The Sample Report -- 9.2.How Good Must the Sample Be? -- 9.2.1.Concepts of Representation and Error -- 9.2.2.Requirements for Sample Quality Across Research Contexts -- Imperfect Samples May Be Useful for Exploration or Screening -- Imperfect Samples May Be Useful for Testing Relationships -- Imperfect Samples Are Usable in Academic Research -- The Heaviest Burden on Sample Quality -- General Advice -- 9.3.Chapter Summary -- Exercises and Discussion Questions
Contents note continued: Exercises and Discussion Questions -- SECTION II SAMPLE SIZE AND SAMPLE EFFICIENCY -- ch. 4 Setting Sample Size -- 4.1.Sampling Error Illustrated -- 4.2.Sample Size Based on Confidence Intervals -- 4.2.1.Computational Examples -- 4.2.2.How to Estimate σ or p -- 4.3.Sample Size Based on Hypothesis Testing Power -- 4.4.Sample Size Based on the Value of Information -- 4.4.1.Why Information Has Value -- 4.4.2.Factors Related to the Value of Information -- 4.4.3.Sample Size and the Value of Information -- 4.5.Informal Methods for Setting Sample Size -- 4.5.1.Using Previous or Typical Sample Sizes -- 4.5.2.Using the Magic Number -- 4.5.3.Anticipating Subgroup Analyses -- 4.5.4.Using Resource Limitations -- 4.6.Chapter Summary -- Exercises and Discussion Questions -- ch. 5 Stratified Sampling -- 5.1.When Should Stratified Samples Be Used? -- 5.1.1.The Strata Are of Direct Interest -- 5.1.2.Variances Differ Across Strata --
Contents note continued: Registration-Based Sampling -- Half-Open Intervals -- Dual-Frame Designs -- General Comments on Coping With Omissions -- 2.2.4.Coping With Ineligibles -- 2.2.5.Coping With Duplications -- 2.2.6.Coping With Clustering -- Sampling Within Households -- Weighting Data to the Proper Population Unit -- 2.2.7.Framing Populations Without a List -- 2.3.Chapter Summary -- Exercises and Discussion Questions -- ch. 3 Drawing the Sample and Executing the Research -- 3.1.Drawing the Sample -- 3.1.1.Simple Random Sampling -- 3.1.2.Systematic Sampling -- 3.1.3.Physical Sampling -- Sampling From Directories -- Sampling From File Drawers -- 3.2.Executing the Research -- 3.2.1.Controlling Nonresponse Bias -- Maximizing Response Rates -- Quota Sampling -- Probability Sampling With Quotas -- Weighting for Differential Response Rates -- Comparing Early Versus Late Respondents -- Follow-up Studies of Nonrespondents -- 3.2.2.Calculating Response Rates -- 3.3.Chapter Summary --
Machine generated contents note: SECTION I SAMPLING BASICS -- ch. 1 Introduction to Sampling -- 1.1.Introduction -- 1.2.A Brief History of Sampling -- 1.3.Sampling Concepts -- 1.3.1.Sources of Research Error -- 1.3.2.Probability versus Nonprobability Samples -- Types of Probability Samples -- Calculating Sampling Probabilities -- Types of Nonprobability Samples -- Comparing Probability and Nonprobability Samples -- 1.4.Guidelines for Good Sampling -- 1.5.Chapter Summary and Overview of Book -- Exercises and Discussion Questions -- ch. 2 Defining and Framing the Population -- 2.1.Defining the Population -- 2.1.1.Defining Population Units -- 2.1.2.Setting Population Boundaries -- The Need for Operational Specificity in Population Boundaries -- Other Issues in Setting Population Boundaries -- 2.2.Framing the Population -- 2.2.1.Obtaining a List -- 2.2.2.Problems With Lists -- 2.2.3.Coping With Omissions -- Random Digit Dialing -- Incorporating Cellphones -- Address-Based Sampling --
Notes Formerly CIP. Uk
Bibliography Includes bibliographical references and indexes
Notes Also issued online
Subject Sampling (Statistics)
Social surveys -- Methodology.
Author Blair, Johnny, author
LC no. 2015300705
ISBN 1483334333
9781483334332