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Collecting Life-Course Data in a Panel Design: Why and How We Use Proactive Dependent Interviewing

Chapter

Abstract

The National Educational Panel Study (NEPS) has to combine the retrospective collection of life-course data with repeated competence measurements in a panel design by updating life-course information on an ongoing basis. The greatest challenge to updating life courses in a panel study is ensuring the overall consistency and completeness of the life course across multiple waves and preventing seam effects. These effects occur in the transitions between different states of interest from one panel wave to the next, and their number is much higher when the data for each period come from two different interviews than when the reports come from the same interview. To minimize this effect and to ensure that episodes collected in different panel waves are connected with each other, NEPS researchers use dependent interviewing techniques that draw on information collected in previous panel waves in order to phrase questions and direct respondents through the questionnaire. Proactive Dependent Interviewing—whereby information from the previous interview (named preload) is used to stimulate the memory as part of the questioning process—is particularly widely used because of its potential to lower respondent burden, increase efficiency, and reduce measurement errors, such as seam effects. Against the background of findings from cognitive psychology, we describe how we implemented this technique in the NEPS Starting Cohort 6-Adults. We then evaluate the quality of this kind of “anchoring” by empirically analyzing the conditions under which respondents disagree with preloaded data.

Keywords

Life Domain Autobiographical Memory Panel Design Previous Interview National Educational Panel Study 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Allmendinger, J., Kleinert, C., Antoni, M., Christoph, B., Drasch, K., Janik, F., … Ruland, M. (2011). Adult education and lifelong learning. In H.-P. Blossfeld, H.-G. Roßbach, & J. von Maurice (Eds.), Zeitschrift für Erziehungswissenschaft, 14. Education as a lifelong process: The German National Educational Panel Study (NEPS) (pp. 283 – 299). Wiesbaden: VS Verlag für Sozialwissenschaften.Google Scholar
  2. Antoni, M., Drasch, K., Kleinert, C., Matthes, B., Ruland, M., & Trahms, A. (2011). ALWA—New life course data for Germany. Schmollers Jahrbuch, 131(4), 625–634.Google Scholar
  3. Blossfeld, H.-P., & von Maurice, J. (2011). Education as a lifelong process. In H.-P. Blossfeld, H.-G. Roßbach, & J. von Maurice (Eds.), Zeitschrift für Erziehungswissenschaft, 14. Education as a lifelong process. The German National Educational Panel Study (NEPS) (pp. 19 – 34). Wiesbaden: VS Verlag für Sozialwissenschaften.Google Scholar
  4. Blossfeld, H.-P., Golsch, K., & Rohwer, G. (2007). Event history analyses with Stata. Mahwah, NJ: Lawrence Erlbaum Assosiation.Google Scholar
  5. Brown, A., Hale, A., & Michaud, S. (1998). Use of computer assisted interviewing in longitudinal surveys. In M. P. Couper, R. B. Baker, J. Bethlehem, C. Z. F. Clark, J. Martin, W. L. Nicholls II, & J. M. O’Reilly (Eds.), Computer assisted survey information collection (pp. 185–200). New York: Wiley.Google Scholar
  6. Conway, M. A. (1996). Autobiographical knowledge of autobiographical memory. In D. C. Rubin (Ed.), Autobiographical knowledge and autobiographical memories (pp. 67–93). Cambridge, MA: Cambridge University Press.Google Scholar
  7. Hill, D. H. (1987). Response errors around the seam: Analysis of change in a panel with overlapping reference periods. In American Statistical Association (Ed.), Proceedings of the survey research methods section (pp. 210 – 216). Washington, DC: American Statistical Association.Google Scholar
  8. Hoogendoorn, A. W. (2004). A questionnaire design for dependent interviewing that addresses the problem of cognitive satisficing. Journal of Official Statistics, 20(2), 219–232.Google Scholar
  9. Jäckle, A. (2008). Dependent interviewing: Effects on respondent burden and efficiency of data collection. Journal of Official Statistics, 24(3), 411–430.Google Scholar
  10. Jäckle, A., & Lynn, P. (2007). Dependent interviewing and seam effects in work history data. Journal of Official Statistics, 23(4), 529–551.Google Scholar
  11. Jenkins, S. P., Lynn, P., Jäckle, A., & Sala, E. (2006). The effects of dependent interviewing on responses to questions on income sources. Journal of Official Statistics, 22(3), 357–384.Google Scholar
  12. Lemaìtre, G. (1992). Dealing with the seam problem for the survey of labour and income dynamics. SLID (Research Paper No. 92-05). Ottawa: Statistics Canada.Google Scholar
  13. Lessler, J. T., & Forsyth, B. H. (1996). A codier system for appraising questionnaires. In S. Sudman, N. M. Bradburn, & N. Schwarz (Eds.), Thinking about answers: The application of cognitive processes to survey methodology (pp. 259 – 291). San Francisco, CA: Jossey-Bass.Google Scholar
  14. Loftus, E. F., & Marburger, W. (1983). Since the eruption of Mt. St. Helens, has anyone beaten you up ? Improving the accuracy of retrospective reports with landmark events. Memory and Cognition, 11(2), 114 – 120.Google Scholar
  15. Means, B., Nigam, A., Zarrow, M., Loftus, E. F., & Donaldson, M. (1989). Autobiographical memory for health-related events (Vol. 2). Hyattsville: US Department of Health and Human Services.Google Scholar
  16. Murdock, B. B., Jr. (1962). The serial position effect of free recall. Journal of Experimental Psychology, 64(5), 482 – 488.Google Scholar
  17. Reimer, M. (2001). Die Zuverlässigkeit des autobiographischen Gedächtnisses und die Validität retrospektiv erhobener Lebensverlaufsdaten: Kognitive und erhebungspragmatische Aspekte (Materialien aus der Bildungsforschung No. 71). Berlin: Max-Planck-Institut für Bildungsforschung.Google Scholar
  18. Rips, L. J., Conrad, F. G., & Fricker, S. S. (2003). Straightening the seam effect in panel surveys. Public Opinion Quarterly, 67(4), 522 – 554.Google Scholar
  19. Schwarz, N., & Sudman, S. (1994). Autobiographical memory and the validity of retrospective reports. New York: Springer.Google Scholar
  20. Sudman, S., Bradburn, N. M., & Schwarz, N. (1996). Thinking about answers: The application of cognitive processes to survey methodology. San Francisco; CA: Jossey-Bass.Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  • Annette Trahms
    • 1
  • Britta Matthes
    • 1
  • Michael Ruland
    • 2
  1. 1.NürnbergDeutschland
  2. 2.BonnDeutschland

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