A novel CFA+EFA model to detect aberrant respondents

Fuente: arXiv
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Autores principales: Cao, Niccolò, Finos, Livio, Lombardi, Luigi, Calcagnì, Antonio
Formato: Preprint
Publicado: 2023
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author Cao, Niccolò
Finos, Livio
Lombardi, Luigi
Calcagnì, Antonio
author_facet Cao, Niccolò
Finos, Livio
Lombardi, Luigi
Calcagnì, Antonio
contents Aberrant respondents are common but yet extremely detrimental to the quality of social surveys or questionnaires. Recently, factor mixture models have been employed to identify individuals providing deceptive or careless responses. We propose a comprehensive factor mixture model for continuous outcomes that combines confirmatory and exploratory factor models to classify both the non-aberrant and aberrant respondents. The flexibility of the proposed {classification model} allows for the identification of two of the most common aberrant response styles, namely faking and careless responding. We validated our approach by means of two simulations and two case studies. The results indicate the effectiveness of the proposed model in dealing with aberrant responses in social and behavioural surveys.
format Preprint
id arxiv_https___arxiv_org_abs_2311_15988
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A novel CFA+EFA model to detect aberrant respondents
Cao, Niccolò
Finos, Livio
Lombardi, Luigi
Calcagnì, Antonio
Methodology
Applications
Computation
62P25, 62-08, 62P15
Aberrant respondents are common but yet extremely detrimental to the quality of social surveys or questionnaires. Recently, factor mixture models have been employed to identify individuals providing deceptive or careless responses. We propose a comprehensive factor mixture model for continuous outcomes that combines confirmatory and exploratory factor models to classify both the non-aberrant and aberrant respondents. The flexibility of the proposed {classification model} allows for the identification of two of the most common aberrant response styles, namely faking and careless responding. We validated our approach by means of two simulations and two case studies. The results indicate the effectiveness of the proposed model in dealing with aberrant responses in social and behavioural surveys.
title A novel CFA+EFA model to detect aberrant respondents
topic Methodology
Applications
Computation
62P25, 62-08, 62P15
url https://arxiv.org/abs/2311.15988