Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review

Abstract Response styles are systematic ways of responding to self-report items that may impact the validity and the precision of scores from instruments. One of these biases is extreme responding (ER), which occurs when a person tends to use only extreme rating categories from a response scale (e.g...

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Main Authors: Ariela Raissa Lima Costa, Nelson Hauck Filho
Format: Article
Language:Portuguese
Published: Sociedade Brasileira de Psicologia
Series:Trends in Psychology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2358-18832019000200309&lng=en&tlng=en
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spelling doaj-58da56f2731b4cc29b1b6133662299f42020-11-25T02:28:18ZporSociedade Brasileira de PsicologiaTrends in Psychology2358-188327230932310.9788/tp2019.2-02S2358-18832019000200309Methods for the Control of Extreme Response Styles in Self-Report Instruments: A ReviewAriela Raissa Lima CostaNelson Hauck FilhoAbstract Response styles are systematic ways of responding to self-report items that may impact the validity and the precision of scores from instruments. One of these biases is extreme responding (ER), which occurs when a person tends to use only extreme rating categories from a response scale (e.g., totally disagree or totally agree), irrespective of item content. Many different methods were developed that aim to identify and control extreme responses to provide a more accurate assessment of an individual's trait. The aim of this study is to perform a systematic review of these main techniques for statistical control of extreme responses in psychometric instruments of self-report. We identified several analytical approaches, which we organized into seven clusters, from simple count of the numbers of extreme response to the use of modern statistics methods, as Item Response Theory uni and multidimensional. Advantages and limitations of each method are discussed. We also present a general diagram that summarizes the distinct available methods we found.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2358-18832019000200309&lng=en&tlng=enEstilo de respuestaLikertsesgo de respuestamensuración
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Ariela Raissa Lima Costa
Nelson Hauck Filho
spellingShingle Ariela Raissa Lima Costa
Nelson Hauck Filho
Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review
Trends in Psychology
Estilo de respuesta
Likert
sesgo de respuesta
mensuración
author_facet Ariela Raissa Lima Costa
Nelson Hauck Filho
author_sort Ariela Raissa Lima Costa
title Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review
title_short Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review
title_full Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review
title_fullStr Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review
title_full_unstemmed Methods for the Control of Extreme Response Styles in Self-Report Instruments: A Review
title_sort methods for the control of extreme response styles in self-report instruments: a review
publisher Sociedade Brasileira de Psicologia
series Trends in Psychology
issn 2358-1883
description Abstract Response styles are systematic ways of responding to self-report items that may impact the validity and the precision of scores from instruments. One of these biases is extreme responding (ER), which occurs when a person tends to use only extreme rating categories from a response scale (e.g., totally disagree or totally agree), irrespective of item content. Many different methods were developed that aim to identify and control extreme responses to provide a more accurate assessment of an individual's trait. The aim of this study is to perform a systematic review of these main techniques for statistical control of extreme responses in psychometric instruments of self-report. We identified several analytical approaches, which we organized into seven clusters, from simple count of the numbers of extreme response to the use of modern statistics methods, as Item Response Theory uni and multidimensional. Advantages and limitations of each method are discussed. We also present a general diagram that summarizes the distinct available methods we found.
topic Estilo de respuesta
Likert
sesgo de respuesta
mensuración
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2358-18832019000200309&lng=en&tlng=en
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