Applied Survey Sampling
Autor Edward Blair, Johnny Blairen Limba Engleză Paperback – 3 feb 2015
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Specificații
ISBN-10: 1483334333
Pagini: 272
Dimensiuni: 187 x 232 x 22 mm
Greutate: 0.45 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
Cuprins
Section I: SAMPLING BASICS
Chapter 1: Introduction to Sampling
1.1 Introduction
1.2A Brief History of Sampling
1.3Sampling Concepts
1.3.1 Sources of Research Error
1.3.2 Probability versus Nonprobability Samples
1.4Guidelines for Good Sampling
1.5Chapter Summary and Overview of Book
Chapter 2: Defining and Framing the Population
2.1Defining the Population
2.1.1Defining Population Units
2.1.2Setting Population Boundaries
2.2Framing the Population
2.2.1Obtaining a List
2.2.2Problems With Lists
2.2.3Coping With Omissions
2.2.4Coping With Ineligibles
2.2.5Coping With Duplications
2.2.6Coping With Clustering
2.2.7Framing Populations Without a List
2.3Chapter Summary
Chapter 3: Drawing the Sample and Executing the
3.1Drawing the Sample
3.1.1Simple Random Sampling
3.1.2Systematic Sampling
3.1.3Physical Sampling
3.2Executing the Research
3.2.1Controlling Nonresponse Bias
3.2.2Calculating Response Rates
3.3Chapter summary
Section II: SAMPLE SIZE AND SAMPLE EFFICIENCY
Chapter 4: Setting Sample Size
4.1Sampling Error Illustrated
4.2Sample Size Based on Confidence Intervals
4.2.1Computational Examples
4.2.2How to Estimate s or p
4.3Sample Size Based on Hypothesis Testing Power
4.4Sample Size Based on the Value of Information
4.4.1Why Information Has Value
4.4.2Factors Related to the Value of Information
4.4.3Sample Size and the Value of Information
4.5Informal Methods for Setting Sample Size
4.5.1Using Previous or Typical Sample Sizes
4.5.2Using the Magic Number
4.5.3Anticipating Subgroup Analyses
4.5.4Using Resource Limitations
4.6Chapter Summary
Chapter 5: Stratified Sampling
5.1When Should Stratified Samples Be Used?
5.1.1The Strata Are of Direct Interest
5.1.2Variances Differ Across Strata
5.1.3Costs Differ Across Strata
5.1.4Prior Information Differs Across Strata
5.2Other Uses of Stratification
5.3How to Draw a Stratified Sample
5.4Chapter Summary
Chapter 6: Cluster Sampling
6.1When Are Cluster Samples Appropriate?
6.1.1Travel Costs
6.1.2Fixed Costs
6.1.3Listing Costs
6.1.4Locating Special Populations
6.2Increased Sample Variability as a Result of Clustering
6.2.1Measuring Homogeneity Within Clusters
6.2.2Design Effects From Clustering
6.3Optimum Cluster Size
6.3.1Typical Cluster Sizes
6.4Defining Clusters
6.5How to Draw a Cluster Sample
6.5.1Drawing Clusters With Equal Probabilities
6.5.2Drawing Clusters With Probabilities Proportionate to Size
6.5.3Drawing Stratified Cluster Samples
6.6Chapter Summary
Section III: ADDITIONAL TOPICS IN SAMPLING
Chapter 7: Estimating Population Characteristics From Samples
7.1Weighting Sample Data
7.1.1Should Data Be Weighted?
7.2Using Models to Guide Sampling and Estimation
7.2.1Examples of Using Models
7.2.2Using Models to Reduce the Variance of Estimates
7.2.3Using Models to Cope With Violations of Probability Sampling Assumptions
7.2.4Conclusions About the Use of Models
7.3Measuring the Uncertainty of Estimates From Complex or Nonprobability Samples
7.4Chapter Summary
Chapter 8: Sampling in Special Contexts
8.1Sampling for Online Research
8.2Sampling Visitors to a Place
8.2.1Selecting Places for Intercept Research
8.2.2Sampling Visitors Within Places
8.3Sampling Rare Populations
8.3.1Telephone Cluster Sampling
8.3.2Disproportionate Stratified Sampling
8.3.3Network Sampling
8.3.4Dual-Frame Sampling
8.3.5Location Sampling
8.3.6Online Data Collection for Rare Groups
8.4Sampling Organizational Populations
8.5Sampling Groups Such as Influence Groups or Elites
8.6Panel Sampling
8.6.1Initial Nonresponse in Panels
8.6.2Differential Mortality Over Time
8.6.3Panel Aging
8.6.4Implications for Panel Sampling
8.6.5Other Issues in Panel Sampling
8.7Sampling in International Contexts
8.8Big Data and Survey Sampling
8.8.1Big Data as a Survey Complement
8.8.2Big Data as a Survey Replacement
8.9Incorporating Smartphones, Social Media, and Technological Changes
8.9.1Smartphones and Surveys
8.9.2Social Media and Surveys
8.9.3A General Framework for Incorporating New Technologies
8.10Chapter Summary
Chapter 9: Evaluating Samples
9.1The Sample Report
9.2How Good Must the Sample Be?
9.2.1Concepts of Representation and Error
9.2.2Requirements for Sample Quality Across Research Contexts
9.3Chapter Summary
Descriere
Applied Survey Sampling addresses the conceptual and practical aspects of sampling for social science, health science, and business researchers. It aims to provide applied and non-technical explanations of conceptual and practical aspects of sampling for the non-statistician. This book addresses the rapidly changing technology landscape of survey research, including non-response rates, the internet, cell phones, and social media. It also includes coverage of big data, using cases and diverse examples to illustrate key findings.