Collecting, managing, and assessing data using sample surveys
by
 
Stopher, Peter R.

Title
Collecting, managing, and assessing data using sample surveys

Author
Stopher, Peter R.

ISBN
9780521681872
 
9780521863117

Personal Author
Stopher, Peter R.

Publication Information
Cambridge : Cambridge University Press, 2012.

Physical Description
xxvi, 534 p. : ill. ; 25 cm.

Contents
1. Introduction -- 2. Basic statistics and probability -- 3. Basic issues in surveys -- 4. Ethics of surveys of human populations -- 5. Design a survey -- 6. Methods for conducting surveys of human populations -- 7. Focus groups -- 8. Design of survey instruments -- 9. Design of questions and question wording -- 10. Special issues for qualitative and preference surveys -- 11. Design of data collection procedures -- 12. Pilot surveys and pretests -- 13. Sample design and sampling -- 14. Repetitive surveys -- 15. Survey economics -- 16. Survey implementation -- 17. Web-based surveys -- 18. Coding and data entry -- 19. Data expansion and weighting -- 20. Nonresponse -- 21. Measuring data quality -- 22. Future directions in survey procedures -- 23. Documenting and archiving -- References -- Index.
 
Machine generated contents note: 1.Introduction -- 1.1.The purpose of this book -- 1.2.Scope of the book -- 1.3.Survey statistics -- 2.Basic statistics and probability -- 2.1.Some definitions in statistics -- 2.1.1.Censuses and surveys -- 2.2.Describing data -- 2.2.1.Types of scales -- Nominal scales -- Ordinal scales -- Interval scales -- Ratio scales -- Measurement scales -- 2.2.2.Data presentation: graphics -- 2.2.3.Data presentation: non-graphical -- Measures of magnitude -- Frequencies and proportions -- Central measures of data -- Measures of dispersion -- The normal distribution -- Some useful properties of variances and standard deviations -- Proportions or probabilities -- Data transformations -- Covariance and correlation -- Coefficient of variation -- Other measures of variability -- Alternatives to Sturges' rule -- 3.Basic issues in surveys -- 3.1.Need for survey methods -- 3.1.1.A definition of sampling methodology -- 3.2.Surveys and censuses -- 3.2.1.Costs --
 
Contents note continued: 3.2.2.Time -- 3.3.Representativeness -- 3.3.1.Randomness -- 3.3.2.Probability sampling -- Sources of random numbers -- 3.4.Errors and bias -- 3.4.1.Sample design and sampling error -- 3.4.2.Bias -- 3.4.3.Avoiding bias -- 3.5.Some important definitions -- 4.Ethics of surveys of human populations -- 4.1.Why ethics? -- 4.2.Codes of ethics or practice -- 4.3.Potential threats to confidentiality -- 4.3.1.Retaining detail and confidentiality -- 4.4.Informed consent -- 4.5.Conclusions -- 5.Designing a survey -- 5.1.Components of survey design -- 5.2.Defining the survey purpose -- 5.2.1.Components of survey purpose -- Data needs -- Comparability or innovation -- Defining data needs -- Data needs in human subject surveys -- Survey timing -- Geographic bounds for the survey -- 5.3.Trade-offs in survey design -- 6.Methods for conducting surveys of human populations -- 6.1.Overview -- 6.2.Face-to-face interviews -- 6.3.Postal surveys -- 6.4.Telephone surveys --
 
Contents note continued: 6.5.Internet surveys -- 6.6.Compound survey methods -- 6.6.1.Pre-recruitment contact -- 6.6.2.Recruitment -- Random digit dialling -- 6.6.3.Survey delivery -- 6.6.4.Data collection -- 6.6.5.An example -- 6.7.Mixed-mode surveys -- 6.7.1.Increasing response and reducing bias -- 6.8.Observational surveys -- 7.Focus groups -- 7.1.Introduction -- 7.2.Definition of a focus group -- 7.2.1.The size and number of focus groups -- 7.2.2.How a focus group functions -- 7.2.3.Analysing the focus group discussions -- 7.2.4.Some disadvantages of focus groups -- 7.3.Using focus groups to design a survey -- 7.4.Using focus groups to evaluate a survey -- 7.5.Summary -- 8.Design of survey instruments -- 8.1.Scope of this chapter -- 8.2.Question type -- 8.2.1.Classification and behaviour questions -- Mitigating threatening questions -- 8.2.2.Memory or recall error -- 8.3.Question format -- 8.3.1.Open questions -- 8.3.2.Field-coded questions -- 8.3.3.Closed questions --
 
Contents note continued: 8.4.Physical layout of the survey instrument -- 8.4.1.Introduction -- 8.4.2.Question ordering -- Opening questions -- Body of the survey -- The end of the questionnaire -- 8.4.3.Some general issues on question layout -- Overall format -- Appearance of the survey -- Front cover -- Spatial layout -- Choice of typeface -- Use of colour and graphics -- Question numbering -- Page breaks -- Repeated questions -- Instructions -- Show cards -- Time of the interview -- Precoding -- End of the survey -- Some final comments on questionnaire layout -- 9.Design of questions and question wording -- 9.1.Introduction -- 9.2.Issues in writing questions -- 9.2.1.Requiring an answer -- 9.2.2.Ready answers -- 9.2.3.Accurate recall and reporting -- 9.2.4.Revealing the data -- 9.2.5.Motivation to answer -- 9.2.6.Influences on response categories -- 9.2.7.Use of categories and other responses -- Ordered and unordered categories -- 9.3.Principles for writing questions --
 
Contents note continued: 9.3.1.Use simple language -- 9.3.2.Number of words -- 9.3.3.Avoid using vague words -- 9.3.4.Avoid using `Tick all that apply' formats -- 9.3.5.Develop response categories that are mutually exclusive and exhaustive -- 9.3.6.Make sure that questions are technically correct -- 9.3.7.Do not ask respondents to say `Yes' in order to say `No' -- 9.3.8.Avoid double-barrelled questions -- 9.4.Conclusion -- 10.Special issues for qualitative and preference surveys -- 10.1.Introduction -- 10.2.Designing qualitative questions -- 10.2.1.Scaling questions -- 10.3.Stated response questions -- 10.3.1.The hypothetical situation -- 10.3.2.Determining attribute levels -- 10.3.3.Number of choice alternatives or scenarios -- 10.3.4.Other issues of concern -- Data inconsistency -- Lexicographic responses -- Random responses -- 10.4.Some concluding comments on stated response survey design -- 11.Design of data collection procedures -- 11.1.Introduction --
 
Contents note continued: 11.2.Contacting respondents -- 11.2.1.Pre-notification contacts -- 11.2.2.Number and type of contacts -- Nature of reminder contacts -- Postal surveys -- Postal surveys with telephone recruitment -- Telephone interviews -- Face-to-face interviews -- Internet surveys -- 11.3.Who should respond to the survey? -- 11.3.1.Targeted person -- 11.3.2.Full household surveys -- Proxy reporting -- 11.4.Defining a complete response -- 11.4.1.Completeness of the data items -- 11.4.2.Completeness of aggregate sampling units -- 11.5.Sample replacement -- 11.5.1.When to replace a sample unit -- 11.5.2.How to replace a sample -- 11.6.Incentives -- 11.6.1.Recommendations on incentives -- 11.7.Respondent burden -- 11.7.1.Past experience -- 11.7.2.Appropriate moment -- 11.7.3.Perceived relevance -- 11.7.4.Difficulty -- Physical difficulty -- Intellectual difficulty -- Emotional difficulty -- Reducing difficulty -- 11.7.5.External factors --
 
Contents note continued: Attitudes and opinions of others -- The `feel good' effect -- Appropriateness of the medium -- 11.7.6.Mitigating respondent burden -- 11.8.Concluding comments -- 12.Pilot surveys and pretests -- 12.1.Introduction -- 12.2.Definitions -- 12.3.Selecting respondents for pretests and pilot surveys -- 12.3.1.Selecting respondents -- 12.3.2.Sample size -- Pilot surveys -- Pretests -- 12.4.Costs and time requirements of pretests and pilot surveys -- 12.5.Concluding comments -- 13.Sample design and sampling -- 13.1.Introduction -- 13.2.Sampling frames -- 13.3.Random sampling procedures -- 13.3.1.Initial considerations -- 13.3.2.The normal law of error -- 13.4.Random sampling methods -- 13.4.1.Simple random sampling -- Drawing the sample -- Estimating population statistics and sampling errors -- Example -- Sampling from a finite population -- Sampling error of ratios and proportions -- Defining the sample size -- Examples -- 13.4.2.Stratified sampling --
 
Contents note continued: Types of stratified samples -- Study domains and strata -- Weighted means and variances -- Stratified sampling with a uniform sampling fraction -- Drawing the sample -- Estimating population statistics and sampling errors -- Pre- and post-stratification -- Example -- Equal allocation -- Summary of proportionate sampling -- Stratified sampling with variable sampling fraction -- Drawing the sample -- Estimating population statistics and sampling errors -- Non-coincident study domains and strata -- Optimum allocation and economic design -- Example -- Survey costs differing by stratum -- Example -- Practical issues in drawing disproportionate samples -- Concluding comments on disproportionate sampling -- 13.4.3.Multistage sampling -- Drawing a multistage sample -- Requirements for multistage sampling -- Estimating population values and sampling statistics -- Example -- Concluding comments on multistage sampling -- 13.5.Quasi-random sampling methods --
 
Contents note continued: 13.5.1.Cluster sampling -- Equal clusters: population values and standard errors -- Example -- The effects of clustering -- Unequal clusters: population values and standard errors -- Random selection of unequal clusters -- Example -- Stratified sampling of unequal clusters -- Paired selection of unequal-sized clusters -- 13.5.2.Systematic sampling -- Population values and standard errors in a systematic sample -- Simple random model -- Stratified random model -- Paired selection model -- Successive difference model -- Example -- 13.5.3.Choice-based sampling -- 13.6.Non-random sampling methods -- 13.6.1.Quota sampling -- 13.6.2.Intentional, judgemental, or expert samples -- 13.6.3.Haphazard samples -- 13.6.4.Convenience samples -- 13.7.Summary -- 14.Repetitive surveys -- 14.1.Introduction -- 14.2.Non-overlapping samples -- 14.3.Incomplete overlap -- 14.4.Subsampling on the second and subsequent occasions -- 14.5.Complete overlap: a panel --
 
Contents note continued: 14.6.Practical issues in designing and conducting panel surveys -- 14.6.1.Attrition -- Replacement of panel members lost by attrition -- Reducing losses due to attrition -- 14.6.2.Contamination -- 14.6.3.Conditioning -- 14.7.Advantages and disadvantages of panels -- 14.8.Methods for administering practical panel surveys -- 14.9.Continuous surveys -- 15.Survey economics -- 15.1.Introduction -- 15.2.Cost elements in survey design -- 15.3.Trade-offs in survey design -- 15.3.1.Postal surveys -- 15.3.2.Telephone recruitment with a postal survey with or without telephone retrieval -- 15.3.3.Face-to-face interview -- 15.3.4.More on potential trade-offs -- 15.4.Concluding comments -- 16.Survey implementation -- 16.1.Introduction -- 16.2.Interviewer selection and training -- 16.2.1.Interviewer selection -- 16.2.2.Interviewer training -- 16.2.3.Interviewer monitoring -- 16.3.Record keeping -- 16.4.Survey supervision -- 16.5.Survey publicity --
 
Contents note continued: 16.5.1.Frequently asked questions, fact sheet, or brochure -- 16.6.Storage of survey forms -- 16.6.1.Identification numbers -- 16.7.Issues for surveys using posted materials -- 16.8.Issues for surveys using telephone contact -- 16.8.1.Caller ID -- 16.8.2.Answering machines -- 16.8.3.Repeated requests for callback -- 16.9.Data on incomplete responses -- 16.10.Checking survey responses -- 16.11.Times to avoid data collection -- 16.12.Summary comments on survey implementation -- 17.Web-based surveys -- 17.1.Introduction -- 17.2.The internet as an optional response mechanism -- 17.3.Some design issues for Web surveys -- 17.3.1.Differences between paper and internet surveys -- 17.3.2.Question and response -- 17.3.3.Ability to fill in the Web survey in multiple sittings -- 17.3.4.Progress tracking -- 17.3.5.Pre-filled responses -- 17.3.6.Confidentiality in Web-based surveys -- 17.3.7.Pictures, maps, etc. on Web surveys --
 
Contents note continued: Animation in survey pictures and maps -- 17.3.8.Browser software -- User interface design -- Creating mock-ups -- Page loading time -- 17.4.Some design principles for Web surveys -- 17.5.Concluding comments -- 18.Coding and data entry -- 18.1.Introduction -- 18.2.Coding -- 18.2.1.Coding of missing values -- 18.2.2.Use of zeros and blanks in coding -- 18.2.3.Coding consistency -- Binary variables -- Numeric variables -- 18.2.4.Coding complex variables -- 18.2.5.Geocoding -- Requesting address details for other places than home -- Pre-coding of buildings -- Interactive gazetteers -- Other forms of geocoding assistance -- Locating by mapping software -- 18.2.6.Methods for creating codes -- 18.3.Data entry -- 18.4.Data repair -- 19.Data expansion and weighting -- 19.1.Introduction -- 19.2.Data expansion -- 19.2.1.Simple random sampling -- 19.2.2.Stratified sampling -- 19.2.3.Multistage sampling -- 19.2.4.Cluster samples -- 19.2.5.Other sampling methods --
 
Contents note continued: 19.3.Data weighting -- 19.3.1.Weighting with unknown population totals -- An example -- A second example -- 19.3.2.Weighting with known populations -- An example -- 19.4.Summary -- 20.Nonresponse -- 20.1.Introduction -- 20.2.Unit nonresponse -- 20.2.1.Calculating response rates -- Classifying responses to a survey -- Calculating response rates -- 20.2.2.Reducing nonresponse and increasing response rates -- Design issues affecting nonresponse -- Survey publicity -- Use of incentives -- Use of reminders and repeat contacts -- Personalisation -- Summary -- 20.2.3.Nonresponse surveys -- 20.3.Item nonresponse -- 20.3.1.Data repair -- Flagging repaired variables -- Inference -- Imputation -- Historical imputation -- Average imputation -- Ratio imputation -- Regression imputation -- Cold-deck imputation -- Hot-deck imputation -- Expectation maximisation -- Multiple imputation -- Imputation using neural networks -- Summary of imputation methods --
 
Contents note continued: 20.3.2.A final note on item nonresponse -- Strategies to obtain age and income -- Age -- Income -- 21.Measuring data quality -- 21.1.Introduction -- 21.2.General measures of data quality -- 21.2.1.Missing value statistic -- 21.2.2.Data cleaning statistic -- 21.2.3.Coverage error -- 21.2.4.Sample bias -- 21.3.Specific measures of data quality -- 21.3.1.Non-mobility rates -- 21.3.2.Trip rates and activity rates -- 21.3.3.Proxy reporting -- 21.4.Validation surveys -- 21.4.1.Follow-up questions -- 21.4.2.Independent measurement -- 21.5.Adherence to quality measures and guidance -- 22.Future directions in survey procedures -- 22.1.Dangers of forecasting new directions -- 22.2.Some current issues -- 22.2.1.Reliance on telephones -- Threats to the use of telephone surveys -- Conclusions on reliance on telephones -- 22.2.2.Language and literacy -- Language -- Literacy -- 22.2.3.Mixed-mode surveys -- 22.2.4.Use of administrative data -- 22.2.5.Proxy reporting --
 
Contents note continued: 22.3.Some possible future directions -- 22.3.1.A GPS survey as a potential substitute for a household travel survey -- The effect of multiple observations of each respondent on sample size -- 23.Documenting and archiving -- 23.1.Introduction -- 23.2.Documentation or the creation of metadata -- 23.2.1.Descriptive metadata -- 23.2.2.Preservation metadata -- 23.2.3.Geospatial metadata -- 23.3.Archiving of data.

Subject Term
Surveys -- Design.
 
Surveys -- Methodology.
 
Sampling (Statistics)


LibraryMaterial TypeItem BarcodeShelf NumberCopy
IIEMSAGeneral Books33168025553138001.422 S883C 20122