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Method Effects in Factorial Surveys: An Analysis of Respondents' Comments, Interviewers' Assessments, and Response Behavior

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  • Carsten Sauer
  • Katrin Auspurg
  • Thomas Hinz
  • Stefan Liebig
  • Jürgen Schupp

Abstract

This paper describes the implementation of a factorial survey within the SOEP-Pretest of 2008 and investigates (1) respondents' comments about the vignettes, (2) interviewers' assessments of respondents comprehension and willingness to answer, and (3) response behavior regarding response time, use of the answering scale, and consistency of evaluations by different age groups and educational background. The respondents evaluated 24 vignettes consisting of ten dimensions that described full-time employees and their gross earnings. The evaluation task was to assess whether the given earnings were just or unjust, and if they were rated as unjust, respondents had to specify the amount of injustice on an 100-point rating scale. In regard to respondents' comments, the critique mentioned most frequently by respondents referred to the content (unrealistic descriptions) and the number of the vignettes. The analysis of the interviewers' assessments of respondents' comprehension and willingness to answer revealed less comprehension and willingness to answer for older and less well educated respondents, although these differences were similar to those found for the complete questionnaire. The analysis of the response behavior revealed no di erences of response time between the groups. Analyses of response consistency show that one should consider hints for simplifying heuristics: such heuristics can lead to an artificially high response consistency. The implications of the findings are discussed.

Suggested Citation

  • Carsten Sauer & Katrin Auspurg & Thomas Hinz & Stefan Liebig & Jürgen Schupp, 2014. "Method Effects in Factorial Surveys: An Analysis of Respondents' Comments, Interviewers' Assessments, and Response Behavior," SOEPpapers on Multidisciplinary Panel Data Research 629, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp629
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    References listed on IDEAS

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    1. Marcello Pagnini & Paola Rossi & Valerio Vacca, 2017. "Introduction," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 46(3), pages 409-410, November.
    2. Arie Kapteyn & James P. Smith & Arthur Van Soest, 2013. "Are A mericans Really Less Happy with Their Incomes?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(1), pages 44-65, March.
    3. Guillermina Jasso, 2006. "Factorial Survey Methods for Studying Beliefs and Judgments," Sociological Methods & Research, , vol. 34(3), pages 334-423, February.
    4. Katrin Auspurg & Annette Jäckle, 2017. "First Equals Most Important? Order Effects in Vignette-Based Measurement," Sociological Methods & Research, , vol. 46(3), pages 490-539, August.
    5. Stefan Liebig & Jürgen Schupp, 2008. "Immer mehr Erwerbstätige empfinden ihr Einkommen als ungerecht," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 75(31), pages 434-440.
    6. Stefan Liebig & Jürgen Schupp, 2005. "Empfinden die Erwerbstätigen in Deutschland ihre Einkommen als gerecht?," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 72(48), pages 721-725.
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    Cited by:

    1. Martin Kroczek & Jochen Späth, 2022. "The attractiveness of jobs in the German care sector: results of a factorial survey," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1547-1562, December.
    2. Katrin Auspurg & Annette Jäckle, 2017. "First Equals Most Important? Order Effects in Vignette-Based Measurement," Sociological Methods & Research, , vol. 46(3), pages 490-539, August.
    3. Blaine Robbins & Edgar Kiser, 2018. "Legitimate authorities and rational taxpayers: An investigation of voluntary compliance and method effects in a survey experiment of income tax evasion," Rationality and Society, , vol. 30(2), pages 247-301, May.

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    More about this item

    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
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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