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Selective automatic editing of mixed mode questionnaires for structural business statistics

Selective automatic editing of mixed mode questionnaires for structural business statistics. Vienna 21-23 April 2008 * Jeffrey Hoogland Roos Smit. Questionnaire changes SBS 2006. Electronic questionnaires Data keyed in by respondents Cheaper Faster Content

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Selective automatic editing of mixed mode questionnaires for structural business statistics

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  1. Selective automatic editing of mixed mode questionnaires for structural business statistics Vienna 21-23 April 2008 * Jeffrey Hoogland Roos Smit

  2. Questionnaire changes SBS 2006 • Electronic questionnaires • Data keyed in by respondents • Cheaper • Faster • Content • Less variables, except for small enterprises • More branch specific questionnaires

  3. Editing process • Automatic correction of obvious systematic errors • Selective interactive editing using plausibility indicators • Automatic editing of remaining records based on Fellegi-Holt principle

  4. Automatic editing modifications I • One administration for edit rules used in interactive and automatic editing • Weights

  5. Automatic editing modifications II

  6. Automatic editing modifications I • One administration for edit rules used in interactive and automatic editing • Weights • Empty entries

  7. Automatic editing modifications I • One administration for edit rules used in interactive and automatic editing • Weights • Empty entries • Protection status values

  8. Automatic editing modifications III

  9. Testing of SLICE I

  10. Testing of SLICE II • Test wave 5 • Leaving entries empty does not cause big performance changes.

  11. Testing of SLICE IV • Test wave 6 • Optimising SLICE • Extensive changes in edit rules and weights • Introducing protective status values • Limitations of edit rules in SLICE

  12. Testing of SLICE III • Test wave 6 & 7 • Number of edits increased • Lower pass rate

  13. Mode effects I • Especially large enterprises fill in an electronic questionnaire. • Filled-in electronic questionnaires contain less missing values. • Filled-in paper questionnaires are sent to SLICE more often. • SLICE pass rate for electronic questionnaires is higher than for paper questionnaires.

  14. Mode effects II Table 6. Percentage of paper and electronic questionnaires per trade and size class.

  15. Mode effects III Table 7. Percentage of paper questionnaires for SLICE, per trade and size class.

  16. Mode effects IV Table 8. Pass rate for SLICE records and differences between electronic and paper questionnaires.

  17. Conclusions I • Electronic questionnaires have • less edit failures to be solved • less missing values • a higher pass rate for SLICE. • Nonetheless they are less likely to be selected for automatic editing.

  18. Conclusions II • Changing SBS questionnaires results in many compelled changes for automatic editing. • Several ideas to improve SLICE solutions were tested and implemented for SBS 2006

  19. Recommendations • Research into the quality of electronically filled in SBS questionnaires seems appropriate. • An extra edit step before SLICE to compensate for different shortcomings of SLICE. • Obtain more insight in SLICE performance in order to ensure an acceptable pass rate.

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