Applied survey sampling:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles [u.a.]
Sage
2015
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XV, 251 S. graph. Darst. |
| ISBN: | 9781483334332 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
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| 008 | 140505s2015 d||| |||| 00||| eng d | ||
| 020 | |a 9781483334332 |9 978-1-4833-3433-2 | ||
| 035 | |a (OCoLC)904170751 | ||
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| 041 | 0 | |a eng | |
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| 245 | 1 | 0 | |a Applied survey sampling |c Edward Blair ; Johnny Blair |
| 264 | 1 | |a Los Angeles [u.a.] |b Sage |c 2015 | |
| 300 | |a XV, 251 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-027271140 | ||
Datensatz im Suchindex
| _version_ | 1804152159332204544 |
|---|---|
| adam_text | BRIEF
CONTENTS
Preface
xiii
About the Authors
xv
SECTION I: SAMPLING BASICS
1
Chapter
1:
Introduction to Sampling
3
Chapter
2:
Defining and Framing the Population
27
Chapter
3:
Drawing the Sample and Executing the Research
63
SECTION II: SAMPLE SIZE AND SAMPLE EFFICIENCY
89
Chapter
4:
Setting Sample Size
91
Chapter
5:
Stratified Sampling
113
Chapter
6:
Cluster Sampling
129
SECTION III: ADDITIONAL TOPICS IN SAMPLING
155
Chapter
7:
Estimating Population Characteristics From Samples
157
Chapter
8:
Sampling in Special Contexts
179
Chapter
9:
Evaluating Samples
221
References
233
Author Index
239
Subject Index
241
DETAILED CONTENTS
Preface
xiii
About the Authors
xv
SECTION I: SAMPLING BASICS
1
Chapter
1:
Introduction to Sampling
3
1.1
Introduction
3
1.2
A Brief History of Sampling
5
1.3
Sampling Concepts
8
1.3.1
Sources of Research Error
9
1.3.2
Probability versus Nonprobability Samples
11
Types of Probability Samples
11
Calcula
ting Sampling Probabilities
12
Types
o/Nonprobability
Samples
16
Comparing Probability and Nonprobability
Samples
17
1.4
Guidelines for Good Sampling
19
1.5
Chapter Summary and Overview of Book
21
Exercises and Discussion Questions
24
Chapter
2:
Defining and Framing the Population
27
2.1
Defining the Population
27
2.1.1
Defining Population units
28
2.1.2
Setting Population Boundaries
30
The Need for Operational Specificity in Population
Boundaries
30
Other Issues in Setting Population Boundaries
3
1
2.2
Framing the Population
33
2.2.1
Obtaining a List
33
2.2.2 Problems
With Lists
37
2.2.3
Coping With Omissions
40
Random Digit Dialing
40
Incorporating Cellphones
45
Address-Based Sampling
47
Registration-Based Sampling
48
Half-Open Intervals
49
Dual-Frame Designs
50
General Comments on Coping With Omissions
52
2.2.4
Coping With
Inéligibles
52
2.2.5
Coping With Duplications
55
2.2.6
Coping With Clustering
56
Sampling Within Households
58
Weighting Data to the Proper Population Unit
59
2.2
J
Framing Populations Without a List
59
2.3
Chapter Summary
60
Exercises and Discussion Questions
61
ter
3:
Drawing the Sample and Executing the
Research
63
3.1
Drawing the Sample
63
3.1
Л
Simple Random Sampling
64
3.1.2
Systematic Sampling
68
3.1.3
Physical Sampling
71
Sampling From Directories
71
Sampling From File Drawers
72
3.2
Executing the Research
73
3,2,1
Controlling
Nonresponse
Bias
75
Maximizing Response Bales
75
Quota Sampling
76
Probability Sampling With Quotas
78
Weighting for Differential Response Rates
80
Comparing Early Versus Late Respondents
83
Follow-up Studies ofNonrespondents
83
Ъ2а
Calculating Response Rates
84
13
Chapter Summary
87
Exercises and Discussion Questions
87
SECTION
II:
SAMPLE
SIZE AND SAMPLE EFFICIENCY
89
Chapter
4:
Setting Sample Size
9
1
4.1
Sampling Error Illustrated
91
4.2
Sample Size Based on Confidence Intervals
96
4.2.1
Computational Examples
98
4.2.2
How to Estimate
σ
or/?
100
4.3
Sample Size Based on Hypothesis Testing Power
101
4.4
Sample Size Based on the Value of Information
102
4.4.1
Why Information Has Value
103
4.4.2
Factors Related to the Value of
Information
104
4.4.3
Sample Size and the Value of
Information
105
4.5
Informal Methods for Setting Sample Size
106
4.5.1
Using Previous or Typical Sample Sizes
106
4.5.2
Using the Magic Number
108
4.5.3
Anticipating Subgroup Analyses
109
4.5.4
Using Resource Limitations
109
4.6
Chapter Summary
110
Exercises and Discussion Questions 111
Chapter
5:
Stratified Sampling
113
5.1
When Should Stratified Samples Be Used?
113
5.1.1
The Strata Are of Direct Interest
115
5.1.2
Variances Differ Across Strata
116
5.1.3
Costs Differ Across Strata
120
5.1.4
Prior Information Differs Across Strata
122
5.2
Other Uses of Stratification
122
5.3
How to Draw a Stratified Sample
124
5.4
Chapter Summary
126
Exercises and Discussion Questions
127
Chapter
6:
Cluster Sampling
129
6.1
When Are Cluster Samples Appropriate?
131
6.1.1
Travel Costs
131
6.1.2
Fixed Costs
132
6.1.3
Listing
Costs 132
6.1.4
Locating Special Populations
133
6.2
Increased Sample Variability as a Result of Clustering
134
6.2.1
Measuring Homogeneity Within Clusters
135
6.2.2
Design Effects From Clustering
136
6.3
Optimum Cluster Size
137
6.3.1
Typical Cluster Sizes
140
In-Home Surveys
140
Repetitive Studies
140
Shopping
Medi
Studies
140
Graduate Student Projects
141
Clustering Within Households
141
6.4
Defining Clusters
142
6.5
How to Draw a Cluster Sample
144
6.5.1
Drawing Clusters With Equal Probabilities
144
6.5.2
Drawing Clusters With Probabilities
Proportionate to Size
145
6.5.3
Drawing Stratified Cluster Samples
151
6.6
Chapter Summary
153
Exercises and Discussion Questions
154
SECTION III: ADDITIONAL TOPICS IN SAMPLING
155
Chapter
7:
Estimating Population Characteristics From
Samples
157
7.1
Weighti ng Sample Data
158
7.1.1
Should Data Be Weighted?
161
7.2
Using Models to Guide Sampling and Estimation
165
7.2.1
Examples of Using Models
166
7.2.2
Using Models to Reduce the Variance of
Estimates
168
Sample Allocation in Stratified Probability Designs
168
CutqffSampling
169
Small Area tetimation
170
73.3
Using Models to Cope With Violations of
Probability Sampling Assumptions
171
Dealing With the Lack of an
Adeguate
Frame
171
Dealing With High
Non response
171
Making Estimates for
Nonfinite
Populations 1
72
7.2.4
Conclusions
About the Use of Models
172
7.3
Measuring the Uncertainty of Estimates From Complex
or Nonprobability Samples
174
7.4
Chapter Summary
175
Exercises and Discussion Questions
177
Chapter
8:
Sampling in Special Contexts
179
8.1
Sampling for Online Research
179
8.2
Sampling Visitors to a Place
181
8.2.1
Selecting Places for Intercept Research
182
8.2.2
Sampling Visitors Within Places
183
8.3
Sampling Rare Populations
188
8.3.1
Telephone Cluster Sampling
189
8.3.2
Disproportionate Stratified Sampling
191
8.3.3
Network Sampling
193
8.3.4
Dual-Frame Sampling
195
8.3.5
Location Sampling
197
8.3.6
Online Data Collection for Rare Groups
198
8.4
Sampling Organizational Populations
199
8.5
Sampling Groups Such as Influence Groups
or Elites
200
8.6
Panel Sampling
201
8.6.1
Initial
Nonresponse
in Panels
202
8.6.2
Differential Mortality Over Time
202
8.6.3
Panel Aging
203
8.6.4
implications for Panel Sampling
203
8.6.5
Other Issues in Panel Sampling
205
8.7
Sampling in International Contexts
206
8.8
Big Data and Survey Sampling
208
8.8.1
Big Data as a Survey Complement
208
8.8.2
Big Data as a Survey Replacement
209
8.9
Incorporating Smartphones. Social Media,
and Tech nological Changes
2
1
1
8.9.1
Smartphones and Surveys
212
8.9.2
Social Media and Surveys
213
8.9.3
A Generai
Framework for Incorporating
New Technologies
215
8.10
Chapter
Summan
216
Exercises and Discussion Questions
219
Chapter
9:
Evaluating Samples
221
9.1
The Sample Report
221
9.2
How Good Must the Sample Be?
224
9.2.1
Concepts of Representation and Error
224
9.2.2
Requirements for Sample Quality Across
Research Contexts
226
Imperfect Samples May Be Useful for
Exploration or Screening
227
Imperfect Samples May Be Useful
for Testing Relationships
227
Imperfect Samples Are Usable in
Academic Research
229
The Heaviest Burden on Sample Quality
230
General Advice
230
9.3
Chapter Summary
231
Exercises and Discussion Questions
232
References
233
Author Index
239
Subject Index
241
|
| any_adam_object | 1 |
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| id | DE-604.BV041826167 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T01:06:17Z |
| institution | BVB |
| isbn | 9781483334332 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027271140 |
| oclc_num | 904170751 |
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| owner | DE-473 DE-BY-UBG DE-20 |
| owner_facet | DE-473 DE-BY-UBG DE-20 |
| physical | XV, 251 S. graph. Darst. |
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| spelling | Blair, Edward 1952- Verfasser (DE-588)13592880X aut Applied survey sampling Edward Blair ; Johnny Blair Los Angeles [u.a.] Sage 2015 XV, 251 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Stichprobe (DE-588)4057502-0 gnd rswk-swf Umfrage (DE-588)4005227-8 gnd rswk-swf Stichprobe (DE-588)4057502-0 s Umfrage (DE-588)4005227-8 s Statistische Analyse (DE-588)4116599-8 s DE-604 Blair, Johnny 19XX- Verfasser (DE-588)1051404592 aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027271140&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Blair, Edward 1952- Blair, Johnny 19XX- Applied survey sampling Statistische Analyse (DE-588)4116599-8 gnd Stichprobe (DE-588)4057502-0 gnd Umfrage (DE-588)4005227-8 gnd |
| subject_GND | (DE-588)4116599-8 (DE-588)4057502-0 (DE-588)4005227-8 |
| title | Applied survey sampling |
| title_auth | Applied survey sampling |
| title_exact_search | Applied survey sampling |
| title_full | Applied survey sampling Edward Blair ; Johnny Blair |
| title_fullStr | Applied survey sampling Edward Blair ; Johnny Blair |
| title_full_unstemmed | Applied survey sampling Edward Blair ; Johnny Blair |
| title_short | Applied survey sampling |
| title_sort | applied survey sampling |
| topic | Statistische Analyse (DE-588)4116599-8 gnd Stichprobe (DE-588)4057502-0 gnd Umfrage (DE-588)4005227-8 gnd |
| topic_facet | Statistische Analyse Stichprobe Umfrage |
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