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Changing from PAPI to CAPI: A Longitudinal Study of Mode-Effects Based on an Experimental Design

Author

Listed:
  • Jörg-Peter Schräpler
  • Jürgen Schupp
  • Gert G. Wagner

Abstract

This paper examines the implication of the move to CAPI for data quality by analyzing the conversion from PAPI to CAPI of a subsample of the German Socio-Economic Panel (SOEP) which was done within an experimental design. The 2000 addresses for the sample E of SOEP were split into two subsamples E1 and E2 with the same structure using twin - sample points. Each of the 125 sample points contained 16 addresses (8 for E1 and 8 for E2) and had to be realized in the first wave alternately with PAPI and CAPI mode per interviewer. In the subsequent waves the PAPI mode was partly replaced by CAPI. With this experimental longitudinal design we are able to control for possible interviewer effects in the analysis of mode effects. The paper assesses whether any mode effects are apparent for the response rate. Within the data, we examine monetary dimensions such as gross income, item and unit nonresponse rates. We were able to find some minor effects but our main results show that we have made the shift without introducing strong mode effects.

Suggested Citation

  • Jörg-Peter Schräpler & Jürgen Schupp & Gert G. Wagner, 2006. "Changing from PAPI to CAPI: A Longitudinal Study of Mode-Effects Based on an Experimental Design," Discussion Papers of DIW Berlin 593, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp593
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    References listed on IDEAS

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    1. Edith de Leeuw & William Nicholls II, 1996. "Technological Innovations in Data Collection: Acceptance, Data Quality and Costs," Sociological Research Online, , vol. 1(4), pages 23-37, December.
    2. Laurie, Heather, 2003. "From PAPI to CAPI: consequences for data quality on the British Household Panel Study," ISER Working Paper Series 2003-14, Institute for Social and Economic Research.
    3. Jörg-Peter Schräpler, 2006. "Explaining Income Nonresponse – A Case Study by means of the British Household Panel Study (BHPS)," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(6), pages 1013-1036, December.
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    Cited by:

    1. Angelika Pańka, 2023. "Competitive abilities as a factor of market competitiveness for SME sector companies," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 4, pages 153-170.
    2. Nicole Watson & Roger Wilkins, 2012. "The Impact of Computer-Assisted Interviewing on Interview Length," Melbourne Institute Working Paper Series wp2012n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Nicole Watson & Roger Wilkins, 2012. "Experimental Change from Paper-Based Interviewing to Computer-Assisted Interviewing in the HILDA Survey," Melbourne Institute Working Paper Series wp2012n06, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    4. Nicole Watson & Mark Wooden, 2010. "Data Survey: The HILDA Survey: Progress and Future Developments," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(3), pages 326-336, September.
    5. Gert G. Wagner, 2009. "The German Socio-Economic Panel (SOEP) in the Nineties: An Example of Incremental Innovations in an Ongoing Longitudinal Study," SOEPpapers on Multidisciplinary Panel Data Research 257, DIW Berlin, The German Socio-Economic Panel (SOEP).

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    More about this item

    Keywords

    CAPI; Mode effects; data quality; interviewer effects;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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