Modeling Extreme Response Style Using Item Response Trees

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F17%3A00097138" target="_blank" >RIV/00216224:14230/17:00097138 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling Extreme Response Style Using Item Response Trees

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Modeling Extreme Response Style Using Item Response Trees

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

50100 - Psychology and cognitive sciences

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů