Data processing during and after the interview Cor Kragt - - PowerPoint PPT Presentation

data processing during and after the interview
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Data processing during and after the interview Cor Kragt - - PowerPoint PPT Presentation

Data processing during and after the interview Cor Kragt Structure Survey design Dutch LFS New process Data processing - during the interview - after the interview 2 Statistics Netherlands - Data processing during and after the


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Data processing during and after the interview

Cor Kragt

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Statistics Netherlands - Data processing during and after the interview

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Structure

  • Survey design Dutch LFS
  • New process
  • Data processing
  • during the interview
  • after the interview
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Survey Design Dutch LFS

  • Panel: 5 waves
  • 1 Year, every 3 months

CATI CATI CATI 5 CATI CATI CATI 4 CATI CATI CATI 3 CATI CATI CATI 2 CAWI & CAPI & CATI CAPI & CATI CAPI 1 Wave 2012 onwards 2010-2012 1999-2010

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New process Reasons

  • Redesign social statistics
  • Redundant software
  • Dependent production lines
  • New weighting model
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Data processing During the interview

  • Record per household

After the interview

  • File per month all household responses
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Data processing during the interview

  • Blaise questionnaire
  • First wave:
  • empty records
  • all questions possible
  • Consecutive waves:
  • data previous wave
  • only mutations
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Data processing during the interview Use of previous data

  • Jobs
  • Working hours
  • Searching for work
  • Occupation
  • Economic activity
  • Education
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Data processing during the interview

Wave 1 UrDnst How many hours does your contract holds? 36 Periode Is this per week, month or year? per week

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Data processing during the interview

Wave 2 T_UrDnst Previous time you worked <36> hours <per week>. Is this still the case? Yes IF WaveNr > 1 AND T_UrDnst = Yes THEN UrDnst := Prev_UrDnst (:= 36) Periode := Prev_Periode (:= per week)

ELSE

UrDnst.ASK Periode.ASK

ENDIF

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Data processing after the interview

  • Automated
  • Manipula (Blaise)
  • Succession of steps
  • collecting the response records
  • conversion to a unique data model
  • derivation of variables
  • matching additional data (previous wave,

registers, codes)

  • weighting
  • tabulation
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Data processing after the interview Closer look to two steps

  • 1. conversion to a unique data model
  • 2. matching information from the previous

wave

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  • 1. Conversion to a unique data model

Pros

  • Delete unnecessary variables
  • Privacy
  • Manipulation independent of mode
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Capi/Cati Capi/Cati Cawi Cawi

Identify Identify Administration Administration Move Move Household Household Box Box Personal Personal Questionnaire Questionnaire

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Unique Unique model model Capi/Cati Capi/Cati Cawi Cawi

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  • 2. Matching information from the

previous wave

  • Retro
  • Followed education
  • Sample information
  • Nationality
  • Land of birth
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  • 2. Matching information from the

previous wave Match to file 3 months ago, but:

  • Possibility to skip one wave
  • Difference between statistical period and

survey period So:

  • Match to file with records of last 8 months
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Additional slides

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  • 3. Matching codes for occupation,

economic activity and education

  • Coding is a seperate proces
  • Available 3 weeks after survey period
  • Unemployment figures
  • First run without these codes
  • Second run with codes
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  • 3. Matching codes for occupation,

economic activity and education

  • Only codes for new observed occupations,

economic activities or educations are delivered

  • Received codes => match these codes
  • No code => same job, occupation or

education?

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  • 3. Matching codes for occupation,

economic activity and education

  • T_ZelfWrk

Previous time you worked <workname>. Is this still the case?

  • T_Beroep

Do you have the same profession or function as the previous time?

  • T_Opleiding

Previous time you were studying. Is this still the case?

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Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 Steps

  • 31 31 31 31 31 31 31 31 31 31 31 31

32 32 32 32 32 32 32 32 32 32 32 32 2010 2011 2012

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Survey Design Dutch LFS since 2010

Wave Mode Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 1 CAPI/CATI E1 F1 G1 H1 I1 J1 K1 L1 2 CATI D2 E2 F2 G2 H2 I2 J2 K2 3 CATI C3 D3 E3 F3 G3 H3 I3 J3 4 CATI B4 C4 D4 E4 F4 G4 H4 I4 5 CATI A5 B5 C5 D5 E5 F5 G5 H5 2011 2012

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  • 2. Matching information from the

previous wave

Combine 8 Combine 8 files files to to 1 1