Detailed Information on Publication Record

ŤÁPAL, Adam and Paulus DE BOECK. Modeling Extreme Response Style Using Item Response Trees. In 14th European Conference on Psychological Assessment. 2017. ISBN 978-972-95069-3-2.

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Basic information
Original name	Modeling Extreme Response Style Using Item Response Trees
Authors	ŤÁPAL, Adam (203 Czech Republic, guarantor, belonging to the institution) and Paulus DE BOECK (56 Belgium).
Edition	14th European Conference on Psychological Assessment, 2017.

Other information
Original language	English
Type of outcome	Presentations at conferences
Field of Study	50100 5.1 Psychology and cognitive sciences
Country of publisher	Portugal
Confidentiality degree	is not subject to a state or trade secret
WWW	URL
RIV identification code	RIV/00216224:14230/17:00097138
Organization unit	Faculty of Social Studies
ISBN	978-972-95069-3-2
Keywords in English	Extreme Response Style; Item Response Theory
Tags	rivok
Tags	International impact, Reviewed
Changed by	Changed by: Mgr. Blanka Farkašová, učo 97333. Changed: 14/3/2018 16:47.

Abstract
It is well known that responses to Likert scale items are potentially influenced by response styles and not only by the latent trait level or attitude strength to be measured. Here, we focus on the extreme response style (ERS) in responses to a Big Five personality test. The purpose of the two presented studies (N = 7885 and 7623) is to demonstrate an attempt to jointly model the latent personality traits and ERS using a class of Item Response Theory models - the Item Response Trees - such that the extreme response style effect can be measured and removed. The Item Response Trees framework can be utilized to decompose item responses into a priori defined sub-responses or hypothesized response processes and model them as functions of different latent variables. The results indicate extreme response style can indeed be modeled and separated from the substantive trait(s) in this way, and represent important findings for the practice of using response scales. Further applications to measurement of ERS and other response styles are discussed.

Abstract

It is well known that responses to Likert scale items are potentially influenced by response styles and not only by the latent trait level or attitude strength to be measured. Here, we focus on the extreme response style (ERS) in responses to a Big Five personality test. The purpose of the two presented studies (N = 7885 and 7623) is to demonstrate an attempt to jointly model the latent personality traits and ERS using a class of Item Response Theory models - the Item Response Trees - such that the extreme response style effect can be measured and removed. The Item Response Trees framework can be utilized to decompose item responses into a priori defined sub-responses or hypothesized response processes and model them as functions of different latent variables. The results indicate extreme response style can indeed be modeled and separated from the substantive trait(s) in this way, and represent important findings for the practice of using response scales. Further applications to measurement of ERS and other response styles are discussed.