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The Effect of Survey Design on Extreme Response Style: Rating Job Satisfaction

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Abstract

This paper explores the relationship between survey rating scale and Extreme Response Style (ERS) using experimental data from Understanding Society (Innovation Panel 2008), where a self-assessment questionnaire measuring job satisfaction uses two alternative (7 and 11 points) rating options. Our results suggests that when shifting from a shorter to a longer scale, the survey design generates a tendency to choose response scales at the extreme of the distribution, thus creating a misleading quantification of the variable of interest. The experimental design of the data enables us to test our hypothesis using a non-linear estimation approach where age, gender and education level are shown to affect ERS.

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  • Luisa Corrado & Majlinda Joxhe, 2016. "The Effect of Survey Design on Extreme Response Style: Rating Job Satisfaction," CEIS Research Paper 365, Tor Vergata University, CEIS, revised 08 Feb 2016.
    • Handle: RePEc:rtv:ceisrp:365
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    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Pudney, Stephen, 2011. "Perception and retrospection: The dynamic consistency of responses to survey questions on wellbeing," Journal of Public Economics, Elsevier, vol. 95(3-4), pages 300-310, April.
    3. Theodossiou, I. & Vasileiou, E., 2007. "Making the risk of job loss a way of life: Does it affect job satisfaction?," Research in Economics, Elsevier, vol. 61(2), pages 71-83, June.
    4. Aysit Tansel & Şaziye Gazîoğlu, 2014. "Management-employee relations, firm size and job satisfaction," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1260-1275, October.
    5. Pudney, Stephen, 2010. "An experimental analysis of the impact of survey design on measures and models of subjective wellbeing," ISER Working Paper Series 2010-20, Institute for Social and Economic Research.
    6. Clark, Andrew E & Oswald, Andrew J, 1994. "Unhappiness and Unemployment," Economic Journal, Royal Economic Society, vol. 104(424), pages 648-659, May.
    7. Krueger, Alan B. & Schkade, David A., 2008. "The reliability of subjective well-being measures," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1833-1845, August.
    8. Guy Moors, 2003. "Diagnosing Response Style Behavior by Means of a Latent-Class Factor Approach. Socio-Demographic Correlates of Gender Role Attitudes and Perceptions of Ethnic Discrimination Reexamined," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(3), pages 277-302, August.
    9. Germana Corrado & Luisa Corrado & Emiliano Santoro, 2013. "On the Individual and Social Determinants of Neighbourhood Satisfaction and Attachment," Regional Studies, Taylor & Francis Journals, vol. 47(4), pages 544-562, April.
    10. Miloš Kankaraš & Jeroen K. Vermunt & Guy Moors, 2011. "Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches," Sociological Methods & Research, , vol. 40(2), pages 279-310, May.
    11. Clark, Andrew E. & Oswald, Andrew J., 1996. "Satisfaction and comparison income," Journal of Public Economics, Elsevier, vol. 61(3), pages 359-381, September.
    12. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    13. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    14. Xavier Gine & Jessica Goldberg & Dean Yang, 2012. "Credit Market Consequences of Improved Personal Identification: Field Experimental Evidence from Malawi," American Economic Review, American Economic Association, vol. 102(6), pages 2923-2954, October.
    15. Clark, Andrew E. & Oswald, Andrew J. & Warr, Peter B., 1994. "Is job satisfaction u-shaped in age ?," CEPREMAP Working Papers (Couverture Orange) 9407, CEPREMAP.
    16. KANKARASH Milosh & MOORS Guy, 2008. "Measurement Equivalence and Extreme Response Bias in the Comparison of Attitudes across Europe," IRISS Working Paper Series 2008-06, IRISS at CEPS/INSTEAD.
    17. Clark, Andrew E., 1999. "Are wages habit-forming? evidence from micro data," Journal of Economic Behavior & Organization, Elsevier, vol. 39(2), pages 179-200, June.
    18. Gabriella Conti & Stephen Pudney, 2011. "Survey Design and the Analysis of Satisfaction," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 1087-1093, August.
    19. Clark, Andrew E., 1997. "Job satisfaction and gender: Why are women so happy at work?," Labour Economics, Elsevier, vol. 4(4), pages 341-372, December.
    20. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    21. Donna Brown & Steven McIntosh, 2003. "Job satisfaction in the low wage service sector," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1241-1254.
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    More about this item

    Keywords

    Survey Design; Extreme Response Style; Job Satisfaction;
    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
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy

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