Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model

There have been a number of studies that have examined the factor structure of the Wechsler Adult Intelligence Scale IV (WAIS-IV) using the standardization sample. In this study, we investigate its factor structure on a clinical neuropsychology sample of mixed aetiology. Correlated factor, higher-or...

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Autores principales: Collinson, Rachel, Evans, Stephen, Wheeler, Miranda, Brechin, Don, Moffitt, Jenna, Hill, Geoff, Muncer, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526452/
https://www.ncbi.nlm.nih.gov/pubmed/31162394
http://dx.doi.org/10.3390/jintelligence5010002
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author Collinson, Rachel
Evans, Stephen
Wheeler, Miranda
Brechin, Don
Moffitt, Jenna
Hill, Geoff
Muncer, Steven
author_facet Collinson, Rachel
Evans, Stephen
Wheeler, Miranda
Brechin, Don
Moffitt, Jenna
Hill, Geoff
Muncer, Steven
author_sort Collinson, Rachel
collection PubMed
description There have been a number of studies that have examined the factor structure of the Wechsler Adult Intelligence Scale IV (WAIS-IV) using the standardization sample. In this study, we investigate its factor structure on a clinical neuropsychology sample of mixed aetiology. Correlated factor, higher-order and bi-factor models are all tested. Overall, the results suggest that the WAIS-IV will be suitable for use with this population.
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spelling pubmed-65264522019-05-29 Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model Collinson, Rachel Evans, Stephen Wheeler, Miranda Brechin, Don Moffitt, Jenna Hill, Geoff Muncer, Steven J Intell Brief Report There have been a number of studies that have examined the factor structure of the Wechsler Adult Intelligence Scale IV (WAIS-IV) using the standardization sample. In this study, we investigate its factor structure on a clinical neuropsychology sample of mixed aetiology. Correlated factor, higher-order and bi-factor models are all tested. Overall, the results suggest that the WAIS-IV will be suitable for use with this population. MDPI 2016-12-30 /pmc/articles/PMC6526452/ /pubmed/31162394 http://dx.doi.org/10.3390/jintelligence5010002 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Collinson, Rachel
Evans, Stephen
Wheeler, Miranda
Brechin, Don
Moffitt, Jenna
Hill, Geoff
Muncer, Steven
Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model
title Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model
title_full Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model
title_fullStr Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model
title_full_unstemmed Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model
title_short Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model
title_sort confirmatory factor analysis of wais-iv in a clinical sample: examining a bi-factor model
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526452/
https://www.ncbi.nlm.nih.gov/pubmed/31162394
http://dx.doi.org/10.3390/jintelligence5010002
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