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筛查儿童焦虑相关情绪障碍:分量表得分是否可靠?双因素模型分析。

Screen for child anxiety related emotional disorders: are subscale scores reliable? A bifactor model analysis.

机构信息

Anxiety Disorders Outpatient Program for Child and Adolescent Psychiatry (PROTAIA), Hospital de Clínicas de Porto Alegre (HCPA), Federal University of Rio Grande do Sul (UFRGS), Brazil; Center for Psychological Studies on At-Risk Populations (CEP-Rua), Institute of Psychology, Federal University of Rio Grande do Sul (UFRGS), Brazil.

Study Group in Psychopathology and Psychological Assessment, Institute of Psychology, Federal University of Rio Grande do Sul (UFRGS), Brazil.

出版信息

J Anxiety Disord. 2014 Dec;28(8):966-70. doi: 10.1016/j.janxdis.2014.10.002. Epub 2014 Oct 30.

Abstract

The aim of this study was to investigate the utility of creating and scoring subscales for the self-report version of the Screen for Child Anxiety Related Emotional Disorders (SCARED) by examining whether subscale scores provide reliable information after accounting for a general anxiety factor in a bifactor model analysis. A total of 2420 children aged 9-18 answered the SCARED in their schools. Results suggested adequate fit of the bifactor model. The SCARED score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor. The explained common variance (ECV) for the general factor was large (63.96%). After accounting for the general total score (ωh=.83), subscale scores provided very little reliable information (ωh ranged from .005 to .04). Practitioners that use the SCARED should be careful when scoring and interpreting the instrument subscales since there is more common variance to them than specific variance.

摘要

本研究旨在通过在 bifactor 模型分析中考虑一般焦虑因素,考察为自评版 Screen for Child Anxiety Related Emotional Disorders(SCARED)创建和评分分量表的效用。共有 2420 名 9-18 岁的儿童在学校回答了 SCARED。结果表明,双因素模型具有良好的拟合度。在控制一般因素的共同方差后,特定领域对 SCARED 评分的方差几乎没有影响。一般因素的解释共同方差(ECV)很大(63.96%)。在考虑一般总分(ωh=.83)后,分量表得分仅提供了非常少量的可靠信息(ωh 范围从.005 到.04)。使用 SCARED 的从业者在评分和解释量表分量表时应小心,因为它们的共同方差比特定方差更多。

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