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Outliers with „natural limits“

Outliers with „natural limits“. SHARE Data Cleaning Workshop Berlin, June 2009 Sabrina Zuber. Outliers & cross checks. For all waves we want to do some more checks For wave 1 and wave 2 we have already some clues where are problems in the data

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Outliers with „natural limits“

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  1. Outlierswith „natural limits“ SHARE Data Cleaning Workshop Berlin, June 2009 Sabrina Zuber

  2. Outliers & cross checks • For all waves we want to do some more checks • For wave 1 and wave 2 we have already some clues where are problems in the data • For SHARELIFE we will identify problems while checking the remarks and writing arcticles for the FRB • It is important that we are aware of inconsistencies, because it could be a hint for: translation errors, wrong routing, questionnaire design

  3. What to do with implausible values? • Some inconsistencies we can correct: mainly based on remarks • The most we can detect but cannot be sure what is wrong • For some checks (natural Outliers) we can be sure that is wrong but do not know what is right • So cannot correct anything • Implausible Flag? • Implausible code (see Missing Codes)?

  4. Wave 2 PF003 & PF004 (1st and 2nd measurement peak flow) • Possible range: 60-880 • < 60=30 • > 880=890 • 993=respondent tried but couldn‘t do it • 999=respondent don‘t want to do it • we have also different values (e.g. 900, 933, 975, 980)

  5. Wave 2 CS008 (time in seconds used for five stands) • 0-values - impossible • 0.2, 0.5, 0.8, 2.2? – implausible? • 2,5% under 5 • lower limit?

  6. Wave 1 & Wave 2 SP005_ & SP006_ (loop) (how often received help from this person; hours) SP005_ • Almost daily • Almost every week • Almost every month • Less often

  7. Wave 1 & Wave 2 SP006_ (hours received help) About how many hours did you…receive such help altogether [on a typical day/in a typical week/in a typical month/in the last twelve month] from this person? IWER: ROUND UP TO FULL HOURS ______ (0…3000)

  8. Wave 1 & Wave 2 SP011_ & SP012_ (loop) (how often give help; hours given help) SP016_ & SP017_ (loop) (how often look after grandchildren; hours) wave 1: no limit (in wave 2 9000 hours) => too high values

  9. Wave 1 & Wave 2 EP012_ TOTAL CONTRACTED HOURS PER WEEK IN THIS JOB What are your total basic or contracted hours each week in this job, excluding meal breaks and any paid or unpaid overtime? ___________ (0.0..168.0) EP013_ TOTAL HOURS WORKED PER WEEK [Regardless of your basic contracted hours] [how many/How many] hours a week do you usually work in this job, excluding meal breaks [but including any paid or unpaid overtime]? ___________ (0.0..168.0)

  10. Wave 1 & Wave 2 EP321_ TOTAL HOURS WORKED PER WEEK SECOND JOB [Regardless of your basic contracted hours/{empty}] [how many/How many] hours a week do you usually work in this job, excluding meal breaks [but including any paid or unpaid overtime /{empty}]. ___________ (0.0..168.0)

  11. SHARELIFE CS002 ROOMS WHEN TEN YEARS OLDHow many rooms did your household occupy in this accommodation, including bedrooms but excluding kitchen, bathrooms, and hallways?IWER:Do not count boxroom, cellar, attic etc.___________ (0..50) AC002 SPECIAL EVENTS IN ACCOMODATIONPlease look at SHOWCARD 3. Have you ever experienced any of the events on this card? IWER:Please code all that apply.1. Lived in a children's home2. Been fostered with another family3. Evacuated or relocated during a war4. Lived in a prisoner of war camp5. Lived in prison…

  12. How to go on? • MEA will collect all information about inconsistencies from you and other users • Make a list • Mea will provide templates

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