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A Structural Model–Based Optimal Person-Fit Procedure for Identifying Faking

Bibliographic Data

ID20282598
AuthorsPere J Ferrando (0000-0002-3133-5466, ‘Rovira i Virgili’ University, Tarragona, Spain), Cristina Anguiano‐Carrasco (Universitat Rovira i Virgili), Cristina Anguiano-Carrasco (‘Rovira i Virgili’ University, Tarragona, Spain)
Year2013
Volume73
Issue2
Pages173-190
Publication date2013-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164412460049
OpenAlexW1969485086
LanguageEN
Citations received1
References cited32

This article proposes a two-stage procedure aimed at identifying faking in personality tests. The procedure, which can be considered as an extension and refinement of previous item response theory (IRT)-based proposals, combines the information provided by a structural equation model (SEM) in the first stage with that provided by an IRT-based optimal person-fit procedure in the second. In this article, the procedure is presented in its most basic form, which means that it is intended for a two-group or a two-wave SEM and for binary-response IRT models. Then, its functioning is assessed by means of an empirical study based on an instructed-faking design. The results suggest that the effectiveness of the procedure is higher than that of previous related proposals. The usefulness of the proposal in real settings, its limitations, and further extensions are discussed

Arithmetic · Binary number · Cognitive psychology · Developmental psychology · Econometrics · Empirical research · Extension (predicate logic) · Item response theory · Machine learning · Personality · Psychometrics · Statistics · Structural equation modeling · Cognitive Abilities and Testing · Computer Science · Mathematics · Personality Traits and Psychology · Psychology · Social and Intergroup Psychology · Social Psychology

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Unique citing works1
Citations per year0.09
Citation span2015 - 2015 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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