Reconsidering the RBANS Factor Structure: a Systematic Literature Review and Meta-Analytic Factor Analysis.
Factor analysis
Meta-analysis
RBANS
Validity
Journal
Neuropsychology review
ISSN: 1573-6660
Titre abrégé: Neuropsychol Rev
Pays: United States
ID NLM: 9009029
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
06
08
2019
accepted:
12
07
2020
pubmed:
22
7
2020
medline:
23
7
2021
entrez:
22
7
2020
Statut:
ppublish
Résumé
The primary aim was to perform a systematic literature review and extract data necessary for a meta-analytic factor analysis of the RBANS. Secondary aims were to examine the potential validity and utility of the resulting factor structure. Literature was identified through a review of PsycINFO, PubMed, MEDLINE, Academic Search Complete, Psychology & Behavioral Sciences Collection, CINAHL Complete, Health Source: Nursing/Academic Edition, and SocINDEX. A two-stage meta-analytic structural equation modeling method was implemented to pool correlation matrices from primary studies and perform confirmatory factor analyses. Following model selection, factor scores were computed for two datasets and subjected to correlation and diagnostic accuracy analyses. A pooled correlation matrix was computed from 24 sample correlation matrices (N = 5299). Confirmatory factor analysis revealed that the theoretical five-factor model produced the best fit but only when error terms between Story Memory and Story Recall as well as between Figure Copy and Figure Recall were included. Regression-based factor scores showed mixed relationships with the manual-defined indices, and the overall diagnostic accuracy of the factor scores was adequate in both samples examined (AUC = 0.71 and 0.87). The five-factor model was an unexpected result given the failure of multiple previous studies to find support for that model. The five-factor model demonstrates several areas of potential improvement, including better representation of the factors by the indicators. The factor scores implied by this model also require further validation.
Identifiants
pubmed: 32691281
doi: 10.1007/s11065-020-09447-3
pii: 10.1007/s11065-020-09447-3
doi:
Types de publication
Journal Article
Meta-Analysis
Systematic Review
Langues
eng
Sous-ensembles de citation
IM