Verfügbarkeit: Collecting, managing, and assessing data using sample surveys

Collecting, managing, and assessing data using sample surveys:

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Bibliographische Detailangaben
1. Verfasser:	Stopher, Peter (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Cambridge [u.a.] Cambridge Univ. Press 2012
Ausgabe:	1. publ.
Schlagworte:	Datenanalyse Umfrage
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	XXVI, 534 S. graph. Darst.
ISBN:	9780521863117 9780521681872

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Datensatz im Suchindex

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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
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