‘Many’, ‘Half’ or ‘One out of Two’? Assessing the Effectiveness of Counter-Biasing Techniques in Reducing Self-Reported Turnout
Autori:
Mircea COMSA, Andrei GHEORGHITA
Cod: ISSN: 1583-3410 (print), ISSN: 1584-5397 (electronic)
Dimensiuni: pp. 80-97
How to cite this article:Comsa, M., Gheorghita, A. (2016). ‘Many’, ‘Half’ or ‘One out of Two’? Assessing the Effectiveness of Counter-Biasing Techniques in Reducing Self-Reported Turnout. Revista de Cercetare si Interventie Sociala, 55, 80-97. |
Abstract:
When asked in surveys about their voting record, many respondents tend to
report having gone to the polls, although they have not. The consequence is a
large and significant turnout overreporting, with negative consequences upon the
validity of many investigations in the field of voting behaviour. An individual’s
tendency to exaggerate his/her voting record is usually the combined effect of
several factors: social desirability bias, limitations of human memory, and acquiescence
response bias. This article assesses the effectiveness of counter-biasing
techniques in compensating for the social desirability bias and, consequently,
reducing self-reported turnout. It compares the effects of three alternatives of
‘loaded’ turnout questions, providing variable information on the occurrence of
non-voting behaviour (many people/around half of the people/one out of two
people did not vote) and invariant face-saving response options. Self-reported
turnout is compared against externally validated turnout. We employ a split-ballot
survey experiment included in the 2009 Romanian Presidential Election panel
study. Our analyses show that the ‘half’ counter-biasing formula is systematically
more effective in reducing the social desirability bias than the alternatives, which
perform rather similarly. When compared to validated turnout, it appears that,
after applying the counter-biasing techniques, turnout overreporting due to social
desirability remains at 5.7 to 8.6 percent.
Keywords:
social desirability bias, self-reported turnout, turnout overreporting, counter-biasing, survey experiment, vote validation.
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