Extreme Response Style in Correlational Research

Extreme Response Style, defined as the tendency to consistently use (or avoid) the extreme ends of response scales in questionnaires with a multiple response category format (Clark, 2000), is one of the most studied response styles. The reason for this is its potential to distort survey results, e...

Full description

Bibliographic Details
Main Authors: Katarzyna Kinga Kowalczyk, Agnieszka Mulak, Grzegorz Król
Format: Article
Language:English
Published: Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego 2016-07-01
Series:Problemy Zarządzania
Subjects:
Online Access:https://pz.wz.uw.edu.pl/resources/html/article/details?id=170045
_version_ 1811242722199076864
author Katarzyna Kinga Kowalczyk
Agnieszka Mulak
Grzegorz Król
author_facet Katarzyna Kinga Kowalczyk
Agnieszka Mulak
Grzegorz Król
author_sort Katarzyna Kinga Kowalczyk
collection DOAJ
description Extreme Response Style, defined as the tendency to consistently use (or avoid) the extreme ends of response scales in questionnaires with a multiple response category format (Clark, 2000), is one of the most studied response styles. The reason for this is its potential to distort survey results, especially in cross-cultural research (Cheung & Rensvold, 2000). Furthermore, the relationships between ERS and most frequently analyzed socio-demographic variables (such as gender, age, education) are inconclusive. We replicated a number of well-established effects, using data from the World Value Survey, and expanded these analyses by including an ERS index, to determine its possible effect on the original results. We found no significant effects of ERS in any of the replicated studies, as long as the ERS index is uncorrelated with the dependent variable. We followed with a theoretical model and a recount of simulation results in an attempt to define boundaries for the phenomenon of ERS significantly affecting research conclusions. We argue that even for interval-level correlation measures, e.g. as used in the ordinary least squares regression analysis, the effect on real data is negligible.
first_indexed 2024-04-12T13:56:14Z
format Article
id doaj.art-a77f4229bf3740b896491316477141f9
institution Directory Open Access Journal
issn 1644-9584
2300-8792
language English
last_indexed 2024-04-12T13:56:14Z
publishDate 2016-07-01
publisher Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego
record_format Article
series Problemy Zarządzania
spelling doaj.art-a77f4229bf3740b896491316477141f92022-12-22T03:30:23ZengWydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu WarszawskiegoProblemy Zarządzania1644-95842300-87922016-07-01142(60) t.26182DOI:10.7172/1644-9584.60.4Extreme Response Style in Correlational ResearchKatarzyna Kinga Kowalczyk0Agnieszka Mulak1Grzegorz Król2Department of Managerial Psychology and Sociology, University of WarsawInstitute of Social Studies, University of WarsawDepartment of Managerial Psychology and Sociology, University of WarsawExtreme Response Style, defined as the tendency to consistently use (or avoid) the extreme ends of response scales in questionnaires with a multiple response category format (Clark, 2000), is one of the most studied response styles. The reason for this is its potential to distort survey results, especially in cross-cultural research (Cheung & Rensvold, 2000). Furthermore, the relationships between ERS and most frequently analyzed socio-demographic variables (such as gender, age, education) are inconclusive. We replicated a number of well-established effects, using data from the World Value Survey, and expanded these analyses by including an ERS index, to determine its possible effect on the original results. We found no significant effects of ERS in any of the replicated studies, as long as the ERS index is uncorrelated with the dependent variable. We followed with a theoretical model and a recount of simulation results in an attempt to define boundaries for the phenomenon of ERS significantly affecting research conclusions. We argue that even for interval-level correlation measures, e.g. as used in the ordinary least squares regression analysis, the effect on real data is negligible.https://pz.wz.uw.edu.pl/resources/html/article/details?id=170045response styleextreme response stylesurvey research
spellingShingle Katarzyna Kinga Kowalczyk
Agnieszka Mulak
Grzegorz Król
Extreme Response Style in Correlational Research
Problemy Zarządzania
response style
extreme response style
survey research
title Extreme Response Style in Correlational Research
title_full Extreme Response Style in Correlational Research
title_fullStr Extreme Response Style in Correlational Research
title_full_unstemmed Extreme Response Style in Correlational Research
title_short Extreme Response Style in Correlational Research
title_sort extreme response style in correlational research
topic response style
extreme response style
survey research
url https://pz.wz.uw.edu.pl/resources/html/article/details?id=170045
work_keys_str_mv AT katarzynakingakowalczyk extremeresponsestyleincorrelationalresearch
AT agnieszkamulak extremeresponsestyleincorrelationalresearch
AT grzegorzkrol extremeresponsestyleincorrelationalresearch