Detecting non-content-based response styles in survey data: An application of mixture factor analysis

It is common for some participants in self-report surveys to be careless, inattentive, or lacking in effort. Data quality can be severely compromised by responses that are not based on item content (non-content-based [nCB] responses), leading to strong biases in the results of data analysis and misi...

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Veröffentlicht in:	Behavior research methods 2024-04, Vol.56 (4), p.3242-3258
Hauptverfasser:	Arias, Víctor B., Ponce, Fernando P., Garrido, Luis E., Nieto-Cañaveras, María Dolores, Martínez-Molina, Agustín, Arias, Benito
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavioral Science and Psychology Cognitive Psychology Data Interpretation, Statistical Factor analysis Factor Analysis, Statistical Humans Models, Statistical Original Manuscript Psychology Self Report Surveys Surveys and Questionnaires
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