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Is extreme response style domain specific? Findings from two studies in four countries


Cabooter, Elke; Weijters, Bert; De Beuckelaer, Alain; Davidov, Eldad (2017). Is extreme response style domain specific? Findings from two studies in four countries. Quality & Quantity, 51(6):2605-2622.

Abstract

Extreme response style (ERS) may bias responses and hamper the validity of conclusions in substantive research. ERS can be controlled for by using an additional (random) sample of response style indicators (i.e., a separate, random sample of survey items). There are two options to draw response style indicators to control for ERS: from only one versus from multiple domains. In two studies (four samples in total), this paper examines the domain dependency of ERS across three domains: consumer behavior, interpersonal relationships and politics. We find in the four samples repeated evidence suggesting that ERS has a domain specific component. This finding calls into question the (often encountered) assumption that it does not matter from which domains ERS measures are drawn.

Abstract

Extreme response style (ERS) may bias responses and hamper the validity of conclusions in substantive research. ERS can be controlled for by using an additional (random) sample of response style indicators (i.e., a separate, random sample of survey items). There are two options to draw response style indicators to control for ERS: from only one versus from multiple domains. In two studies (four samples in total), this paper examines the domain dependency of ERS across three domains: consumer behavior, interpersonal relationships and politics. We find in the four samples repeated evidence suggesting that ERS has a domain specific component. This finding calls into question the (often encountered) assumption that it does not matter from which domains ERS measures are drawn.

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3 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Business Administration
06 Faculty of Arts > Institute of Sociology
08 Research Priority Programs > Social Networks
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Physical Sciences > Statistics and Probability
Social Sciences & Humanities > General Social Sciences
Language:English
Date:2017
Deposited On:28 Mar 2019 14:22
Last Modified:04 Dec 2023 08:09
Publisher:Springer
ISSN:0033-5177
OA Status:Green
Publisher DOI:https://doi.org/10.1007/s11135-016-0411-5
Other Identification Number:merlin-id:15566
  • Content: Accepted Version