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A-240 Enhanced Interpretation of the Behavior Rating Inventory of Executive Function–Adult Version (BRIEF-A)

等级间信度 心理学 统计显著性 临床心理学 考试(生物学) 标准分 评定量表 发展心理学 统计 数学 生物 古生物学
作者
Sandra Trujillo,Alejandra Carrillo,J Greene,Robert M. Roth,Peter Κ. Isquith,Gérard A. Gioia,Sierra Iwanicki,Champ Morera C
出处
期刊:Archives of Clinical Neuropsychology [Oxford University Press]
卷期号:35 (6): 1035-1035
标识
DOI:10.1093/arclin/acaa068.240
摘要

Abstract Objective The Behavior Rating Inventory of Executive Function®—Adult Version (BRIEF-A) is a standardized measure that captures an adult’s executive functions in his or her everyday environment. The current study provides additional statistical evidence to support interpretation of BRIEF-A scores across raters and over time. Method Participants were adults, ages 18 to 90 years, from the BRIEF-A Self-Report (N = 1,050) and Informant-Report (N = 1,200) standardization samples, as well as an interrater sample (n = 180) and test–retest samples (n = 50 for Self, n = 44 for Informant). Interrater correlations, base rates of interrater differences, and score differences required for statistical significance were examined. Test–retest correlations and score differences required for statistical significance were examined. Base rates of elevated T scores (≥ 65) were calculated for the standardization samples across age groups. Results Interrater correlations ranged from .44 to .68 with an interrater difference of 17–20 T-score points considered significant at p < .05. Approximately 55–73% of raters reported scores within 10 T-score points. Test–retest scores were highly correlated (Self: r = .82–.94; Informant: r = .91–.96), with a between-test difference of 7–11 T-score points considered significant at p < .05. Base rates of elevated T- scores ranged from 3.3% to 15.4% for the Self-Report Form and 4.5% to 16.3% for the Informant-Report Form across the scales/indexes. Conclusions These data allow clinicians to interpret BRIEF-A scores across raters and over time by determining the statistical significance of BRIEF-A score differences, as well as quantifying the frequency of the observed differences.
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