Collecting, managing, and assessing data using sample surveys:
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge [u.a.]
Cambridge Univ. Press
2012
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| Edition: | 1. publ. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXVI, 534 S. graph. Darst. |
| ISBN: | 9780521863117 9780521681872 |
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MARC
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| 100 | 1 | |a Stopher, Peter |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Collecting, managing, and assessing data using sample surveys |c Peter Stopher |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a Cambridge [u.a.] |b Cambridge Univ. Press |c 2012 | |
| 300 | |a XXVI, 534 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-021211258 | ||
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| _version_ | 1804143937018920960 |
|---|---|
| adam_text | Contents
List of
figures
page
xix
List of tables
xxii
Acknowledgements
xxv
1
Introduction
1
1.1
The purpose of this book
1
1.2
Scope of the book
2
1.3
Survey statistics
4
2
Basic statistics and probability
6
2.1
Some definitions in statistics
6
2.1.1
Censuses and surveys
7
2.2
Describing data
8
2.2.1
Types of scales
8
Nominal scales
8
Ordinal scales
9
Interval scales
9
Ratio scales
10
Measurement scales
10
2.2.2
Data presentation: graphics
11
2.2.3
Data presentation: non-graphical
16
Measures of magnitude
17
Frequencies and proportions
17
Central measures of data
21
Measures of dispersion
34
The normal distribution
45
Some useful properties of variances and standard deviations
46
Proportions or probabilities
47
Data transformations
48
Covariance and correlation
50
Coefficient of variation
51
Contents
Other measures of variability
53
Alternatives to Sturges
rule
62
3
Basic issues in surveys
64
3.1
Need for survey methods
64
3.1.1
A definition of sampling methodology
65
3.2
Surveys and censuses
65
3.2.1
Costs
66
3.2.2
Time
67
3.3
Representativeness
68
3.3.1
Randomness
69
3.3.2
Probability sampling
70
Sources of random numbers
71
3.4
Errors and bias
71
3.4.1
Sample design and sampling error
73
3.4.2
Bias
74
3.4.3
Avoiding bias
78
3.5
Some important definitions
78
4
Ethics of surveys of human populations
81
4.1
Why ethics?
81
4.2
Codes of ethics or practice
82
4.3
Potential threats to confidentiality
84
4.3.1
Retaining detail and confidentiality
85
4.4
Informed consent
86
4.5
Conclusions
89
5
Designing a survey
91
5.1
Components of survey design
91
5.2
Defining the survey purpose
93
5.2.1
Components of survey purpose
94
Data needs
94
Comparability or innovation
97
Defining data needs
99
Data needs in human subject surveys
99
Survey timing
100
Geographic bounds for the survey
101
5.3
Trade-offs in survey design
102
6
Methods for conducting surveys of human populations
104
6.1
Overview
104
6.2
Face-to-face interviews
105
6.3
Postal surveys
107
Contents ix
6.4 Telephone
surveys
108
6.5 Internet
surveys 1
11
6.6
Compound survey methods
112
6.6.1
Pre-recruitment contact
112
6.6.2
Recruitment
113
Random digit dialling
115
6.6.3
Survey delivery
117
6.6.4
Data collection
118
6.6.5
An example
119
6.7
Mixed-mode surveys
120
6.7.1
Increasing response and reducing bias
123
6.8
Observational surveys
125
7
Focus groups
127
7.1
Introduction
127
7.2
Definition of a focus group
128
7.2.1
The size and number of focus groups
128
7.2.2
How a focus group functions
129
7.2.3
Analysing the focus group discussions
131
7.2.4
Some disadvantages of focus groups
131
7.3
Using focus groups to design a survey
132
7.4
Using focus groups to evaluate a survey
134
7.5
Summary
135
8
Design of survey instruments
137
8.1
Scope of this chapter
137
8.2
Question type
137
8.2.1
Classification and behaviour questions
138
Mitigating threatening questions
139
8.2.2
Memory or recall error
142
8.3
Question format
145
8.3.1
Open questions
145
8.3.2
Field-coded questions
146
8.3.3
Closed questions
147
8.4
Physical layout of the survey instrument
150
8.4.1
Introduction
150
8.4.2
Question ordering
153
Opening questions
153
Body of the survey
154
The end of the questionnaire
158
8.4.3
Some general issues on question layout
159
Overall format
160
Contents
Appearance of the survey
161
Front cover
162
Spatial layout
163
Choice of typeface
164
Use of colour and graphics
166
Question numbering
169
Page breaks
170
Repeated questions
171
Instructions
172
Show cards
174
Time of the interview
174
Precoding
174
£W
o/řfte SMrvey
175
Some final comments on questionnaire layout
176
9
Design of questions and question wording
177
9.1
Introduction
177
9.2
Issues in writing questions
178
9.2.1
Requiring an answer
178
9.2.2
Ready answers
180
9.2.3
Accurate recall and reporting
181
9.2.4
Revealing the data
182
9.2.5
Motivation to answer
183
9.2.6
Influences on response categories
184
9.2.7
Use of categories and other responses
185
Ordered and unordered categories
187
9.3
Principles for writing questions
188
9.3.1
Use simple language
189
9.3.2
Number of words
190
9.3.3
Avoid using vague words
191
9.3.4
Avoid using Tick all that apply formats
193
9.3.5
Develop response categories that are mutually exclusive
and exhaustive
193
9.3.6
Make sure that questions are technically correct
195
9.3.7
Do not ask respondents to say Yes in order to say No
196
9.3.8
Avoid double-barrelled questions
196
9.4
Conclusion
197
10
Special issues for qualitative and preference surveys
199
10.1
Introduction
199
10.2
Designing qualitative questions
199
10.2.1
Scaling questions
200
Contents xi
10.3
Stated response questions
206
10.3.1
The hypothetical situation
206
10.3.2
Determining attribute levels
207
10.3.3
Number of choice alternatives or scenarios
207
10.3.4
Other issues of concern
208
Data inconsistency
208
Lexicographic responses
209
Random responses
209
10.4
Some concluding comments on stated response survey design
210
11
Design of data collection procedures
211
11.1
Introduction
211
11.2
Contacting respondents
211
11.2.1
Pre-notification contacts
211
11.2.2
Number and type of contacts
213
Nature of reminder contacts
213
Postal surveys
215
Postal surveys with telephone recruitment
216
Telephone interviews
217
Face-to-face interviews
219
Internet surveys
220
11.3
Who should respond to the survey?
221
11.3.1
Targeted person
221
11.3.2
Full household surveys
223
Proxy reporting
224
11.4
Defining a complete response
225
11.4.1
Completeness of the data items
226
11.4.2
Completeness of aggregate sampling units
228
11.5
Sample replacement
229
11.5.1
When to replace a sample unit
229
11.5.2
How to replace a sample
233
11.6
Incentives
235
11.6.1
Recommendations on incentives
236
11.7
Respondent burden
240
11.7.1
Past experience
241
11.7.2
Appropriate moment
242
11.7.3
Perceived relevance
242
11.7.4
Difficulty
243
Physical difficulty
243
Intellectual difficulty
244
Emotional difficulty
245
Reducing difficulty
246
Contents
11.7.5
External
factors
246
Attitudes
and opinions of others
246
The feel good
effect
247
Appropriateness of the medium
248
11.7.6
Mitigating respondent burden
248
11.8
Concluding comments
250
12
Pilot surveys and pretests
251
12.1
Introduction
251
12.2
Definitions
252
12.3
Selecting respondents for pretests and pilot surveys
255
12.3.1
Selecting respondents
255
12.3.2
Sample size
258
Pilot surveys
258
Pretests
261
12.4
Costs and time requirements of pretests and pilot surveys
262
12.5
Concluding comments
264
13
Sample design and sampling
265
13.1
Introduction
265
13.2
Sampling frames
266
13.3
Random sampling procedures
268
13.3.1
Initial considerations
268
13.3.2
The normal law of error
269
13.4
Random sampling methods
270
13.4.1
Simple random sampling
271
Drawing the sample
271
Estimating population statistics and sampling errors
273
Example
276
Sampling from a finite population
279
Sampling error of ratios and proportions
279
Defining the sample size
281
Examples
283
13.4.2
Stratified sampling
285
Types of stratified samples
285
Study domains and strata
287
Weighted means and variances
287
Stratified sampling with a uniform sampling fraction
289
Drawing the sample
289
Estimating population statistics and sampling errors
290
Pre-
and post-stratification
291
Example
293
Contents xiii
Equal allocation
294
Summary of proportionate sampling
295
Stratified sampling with variable sampling fraction
295
Drawing the sample
295
Estimating population statistics and sampling errors
296
Non-coincident study domains and strata
296
Optimum allocation and economic design
297
Example
298
Survey costs differing by stratum
300
Example
301
Practical issues in drawing disproportionate samples
303
Concluding comments on disproportionate sampling
305
13.4.3
Multistage sampling
305
Drawing a multistage sample
306
Requirements for multistage sampling
307
Estimating population values and sampling statistics
308
Example
309
Concluding comments on multistage sampling
314
13.5
Quasi-random sampling methods
314
13.5.1
Cluster sampling
316
Equal clusters: population values and standard errors
317
Example
319
The effects of clustering
321
Unequal clusters: population values and standard errors
322
Random selection of unequal clusters
324
Example
325
Stratified sampling of unequal clusters
326
Paired selection of unequal-sized clusters
327
13.5.2
Systematic sampling
328
Population values and standard errors in a systematic
sample
328
Simple random model
329
Stratified random model
329
Paired selection model
329
Successive difference model
330
Example
330
13.5.3
Choice-based sampling
333
13.6
Non-random sampling methods
334
13.6.1
Quota sampling
334
13.6.2
Intentional, judgemental, or expert samples
335
13.6.3
Haphazard samples
335
13.6.4
Convenience samples
336
13.7
Summary
336
Contents
14
Repetitive
surveys
337
14.1
Introduction
337
14.2
Non-overlapping samples
338
14.3
Incomplete overlap
339
14.4
Subsampling
on the second and subsequent occasions
341
14.5
Complete overlap: a panel
342
14.6
Practical issues in designing and conducting panel surveys
343
14.6.1
Attrition
344
Replacement of panel members lost by attrition
345
Reducing losses due to attrition
346
14.6.2
Contamination
347
14.6.3
Conditioning
348
14.7
Advantages and disadvantages of panels
348
14.8
Methods for administering practical panel surveys
349
14.9
Continuous surveys
352
15
Survey economics
356
15.1
Introduction
356
15.2
Cost elements in survey design
357
15.3
Trade-offs in survey design
359
15.3.1
Postal surveys
360
15.3.2
Telephone recruitment with a postal survey with or
without telephone retrieval
361
15.3.3
Face-to-face interview
362
15.3.4
More on potential trade-offs
362
15.4
Concluding comments
363
16
Survey implementation
365
16.1
Introduction
365
16.2
Interviewer selection and training
365
16.2.1
Interviewer selection
365
16.2.2
Interviewer training
368
16.2.3
Interviewer monitoring
369
16.3
Record keeping
370
16.4
Survey supervision
372
16.5
Survey publicity
373
16.5.1
Frequently asked questions, fact sheet, or brochure
374
16.6
Storage of survey forms
374
16.6.1
Identification numbers
375
16.7
Issues for surveys using posted materials
377
16.8
Issues for surveys using telephone contact
377
16.8.1
Caller ID
378
16.8.2
Answering machines
378
Contents xv
] 6.8.3
Repeated requests for callback
380
16.9
Data on incomplete responses
381
16.10
Checking survey responses
382
16.11
Times to avoid data collection
383
16.12
Summary comments on survey implementation
383
17
Web-based surveys
385
17.1
Introduction
385
17.2
The internet as an optional response mechanism
388
17.3
Some design issues for Web surveys
389
17.3.1
Differences between paper and internet surveys
389
17.3.2
Question and response
390
17.3.3
Ability to fill in the Web survey in multiple sittings
392
17.3.4
Progress tracking
393
17.3.5
Pre-filled responses
394
17.3.6
Confidentiality in Web-based surveys
395
17.3.7
Pictures, maps, etc. on Web surveys
395
Animation in survey pictures and maps
396
17.3.8
Browser software
396
User interface design
396
Creating mock-ups
397
Page loading time
398
17.4
Some design principles for Web surveys
398
17.5
Concluding comments
399
18
Coding and data entry
401
18.1
Introduction
401
18.2
Coding
402
18.2.1
Coding of missing values
402
18.2.2
Use of zeros and blanks in coding
403
18.2.3
Coding consistency
404
Binary variables
404
Numeric variables
404
18.2.4
Coding complex variables
405
18.2.5
Geocoding
406
Requesting address details for other places than home
408
Pre-coding of buildings
409
Interactive gazetteers
410
Other forms of geocoding assistance
410
Locating by mapping software
411
18.2.6
Methods for creating codes
412
18.3
Data entry
413
18.4
Data repair
416
xvi Contents
19 Data
expansion
and weighting
418
19.1
Introduction
418
19.2
Data expansion
419
19.2.1
Simple random sampling
419
19.2.2
Stratified sampling
419
19.2.3
Multistage sampling
420
19.2.4
Cluster samples
420
19.2.5
Other sampling methods
421
19.3
Data weighting
421
19.3.1
Weighting with unknown population totals
422
An example
423
A second example
424
19.3.2
Weighting with known populations
426
An example
427
19.4
Summary
429
20
Nonresponse
431
20.1
Introduction
431
20.2
Unit
nonresponse
432
20.2.1
Calculating response rates
432
Classifying responses to a survey
433
Calculating response rates
435
20.2.2
Reducing
nonresponse
and increasing response rates
440
Design issues affecting
nonresponse
440
Survey publicity
442
Use of incentives
442
Use of reminders and repeat contacts
443
Personalisation
444
Summary
445
20.2.3
Nonresponse
surveys
445
20.3
Item
nonresponse
450
20.3.1
Data repair
450
Flagging repaired variables
451
Inference
452
Imputation
452
Historical imputation
453
Average imputation
454
Ratio imputation
454
Regression imputation
455
Cold-deck imputation
456
Hot-deck imputation
457
Expectation maximisation
457
Contents xvii
Multiple
imputation
458
Imputation
using neural networks
458
Summary of imputation methods
460
20.3.2
A final note on item
nonresponse
460
Strategies to obtain age and income
461
Age
461
Income
462
21
Measuring data quality
464
21.1
Introduction
464
21.2
General measures of data quality
464
21.2.1
Missing value statistic
465
21.2.2
Data cleaning statistic
466
21.2.3
Coverage error
467
21.2.4
Sample bias
468
21.3
Specific measures of data quality
469
21.3.1
Non-mobility rates
469
21.3.2
Trip rates and activity rates
470
21.3.3
Proxy reporting
471
21.4
Validation surveys
472
21.4.1
Follow-up questions
473
21.4.2
Independent measurement
475
21.5
Adherence to quality measures and guidance
476
22
Future directions in survey procedures
478
22.1
Dangers of forecasting new directions
478
22.2
Some current issues
478
22.2.1
Reliance on telephones
478
Threats to the use of telephone surveys
479
Conclusions on reliance on telephones
481
22.2.2
Language and literacy
481
Language
481
Literacy
483
22.2.3
Mixed-mode surveys
486
22.2.4
Use of administrative data
487
22.2.5
Proxy reporting
488
22.3
Some possible future directions
489
22.3.1
A GPS survey as a potential substitute for a household
travel survey
493
The effect of multiple observations of each respondent
on sample size
495
xviii Contents
23
Documenting and archiving
499
23.1
Introduction
499
23.2
Documentation or the creation of metadata
499
23.2.1
Descriptive metadata
500
23.2.2
Preservation metadata
503
23.2.3
Geospatial metadata
503
23.3
Archiving of data
506
References
511
Index
525
|
| any_adam_object | 1 |
| author | Stopher, Peter |
| author_facet | Stopher, Peter |
| author_role | aut |
| author_sort | Stopher, Peter |
| author_variant | p s ps |
| building | Verbundindex |
| bvnumber | BV037298808 |
| classification_rvk | QH 232 QH 244 |
| classification_tum | SOZ 710f |
| ctrlnum | (OCoLC)706927750 (DE-599)BSZ336005016 |
| discipline | Soziologie Wirtschaftswissenschaften |
| edition | 1. publ. |
| format | Book |
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| id | DE-604.BV037298808 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:55:35Z |
| institution | BVB |
| isbn | 9780521863117 9780521681872 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-021211258 |
| oclc_num | 706927750 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-11 DE-473 DE-BY-UBG DE-91 DE-BY-TUM DE-945 |
| owner_facet | DE-355 DE-BY-UBR DE-11 DE-473 DE-BY-UBG DE-91 DE-BY-TUM DE-945 |
| physical | XXVI, 534 S. graph. Darst. |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| spelling | Stopher, Peter Verfasser aut Collecting, managing, and assessing data using sample surveys Peter Stopher 1. publ. Cambridge [u.a.] Cambridge Univ. Press 2012 XXVI, 534 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Datenanalyse (DE-588)4123037-1 gnd rswk-swf Umfrage (DE-588)4005227-8 gnd rswk-swf Umfrage (DE-588)4005227-8 s Datenanalyse (DE-588)4123037-1 s DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021211258&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Stopher, Peter Collecting, managing, and assessing data using sample surveys Datenanalyse (DE-588)4123037-1 gnd Umfrage (DE-588)4005227-8 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4005227-8 |
| title | Collecting, managing, and assessing data using sample surveys |
| title_auth | Collecting, managing, and assessing data using sample surveys |
| title_exact_search | Collecting, managing, and assessing data using sample surveys |
| title_full | Collecting, managing, and assessing data using sample surveys Peter Stopher |
| title_fullStr | Collecting, managing, and assessing data using sample surveys Peter Stopher |
| title_full_unstemmed | Collecting, managing, and assessing data using sample surveys Peter Stopher |
| title_short | Collecting, managing, and assessing data using sample surveys |
| title_sort | collecting managing and assessing data using sample surveys |
| topic | Datenanalyse (DE-588)4123037-1 gnd Umfrage (DE-588)4005227-8 gnd |
| topic_facet | Datenanalyse Umfrage |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021211258&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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