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Does the Survey Mode Affect the Association Between Subjective Well-being and its Determinants? An Experimental Comparison Between Face-to-Face and Web Mode

Author

Listed:
  • Giorgio Piccitto

    (Bocconi University)

  • Aart C. Liefbroer

    (Netherlands Interdisciplinary Demographic Institute
    University of Groningen
    Vrije Universiteit)

  • Tom Emery

    (Erasmus University Rotterdam)

Abstract

Subjective well-being research increasingly uses web surveys to understand how subjective well-being indicators are related to other concepts of interest. Although we know that mean scores on these indicators may differ between modes, we know little about whether a move to web will influence the conclusions we draw about our conceptual models. This study uses data from a unique mixed-mode survey collected in Croatia and Germany as part of the Generations and Gender Programme to examine whether the relationships between a range of subjective well-being indicators and a set of objective and subjective determinants differ between respondents answering these questions in face-to-face or web mode. Although respondents report lower subjective well-being in web than in face-to-face mode, the relationships between these variables and a range of objective and subjective indicators are relatively stable across modes. This suggests that substantive conclusions about antecedents of subjective well-being do not depend on whether data are collected via a face-to-face interview or through web survey.

Suggested Citation

  • Giorgio Piccitto & Aart C. Liefbroer & Tom Emery, 2022. "Does the Survey Mode Affect the Association Between Subjective Well-being and its Determinants? An Experimental Comparison Between Face-to-Face and Web Mode," Journal of Happiness Studies, Springer, vol. 23(7), pages 3441-3461, October.
    • Handle: RePEc:spr:jhappi:v:23:y:2022:i:7:d:10.1007_s10902-022-00553-y
    DOI: 10.1007/s10902-022-00553-y
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    1. Giorgio Piccitto & Hans M. A. Schadee & Gabriele Ballarino, 2023. "Job Satisfaction and Gender in Italy: A Structural Equation Modeling Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 775-793, October.

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