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评估心理健康筛查工具的应用:社会、学业和情绪行为风险筛查工具的结构效度。

Evaluating the applied use of a mental health screener: Structural validity of the Social, Academic, and Emotional Behavior Risk Screener.

作者信息

von der Embse Nathaniel P, Pendergast Laura L, Kilgus Stephen P, Eklund Katie R

机构信息

Department of Psychological Studies in Education, Temple University.

Department of Educational, School, and Counseling Psychology, University of Missouri.

出版信息

Psychol Assess. 2016 Oct;28(10):1265-1275. doi: 10.1037/pas0000253. Epub 2015 Nov 30.

Abstract

Universal screening for mental health has gained prominence in schools with the adoption of multitiered systems of support. However, there is a general lack of brief, psychometrically defensible instruments that assess emotional and behavioral risk. This study employed a multilevel, confirmatory bifactor analysis to evaluate the factor structure of a novel screening instrument-the Social, Academic, and Emotional Behavioral Risk Screener (SAEBRS; Kilgus & von der Embse, 2014)-examining the structure at the student (within) and teacher or rater (between) levels. Item response theory (IRT) analyses were then used to examine the functioning of 2 existing factors, social risk and academic risk, in addition to a newly introduced third factor, emotional risk, within a sample of 834 elementary and middle school students. Results indicated good fit of a bifactor model including the addition of the new Emotional Behavior subscale. IRT analyses suggested strong item-level discriminative properties (a > 1.0) for 17 of the 19 SAEBRS items and indicated that scale precision was greatest within the low to moderate range of each respective dimension (social, academic, and behavioral risk). Overall, the findings provide support for the use of the SAEBRS as a screener for mental health-related concerns. Implications for model interpretation and model use are discussed. (PsycINFO Database Record

摘要

随着多层次支持系统的采用,心理健康的普遍筛查在学校中变得越来越重要。然而,普遍缺乏简短且在心理测量学上具有合理性的工具来评估情绪和行为风险。本研究采用多层次验证性双因素分析来评估一种新型筛查工具——社会、学业和情绪行为风险筛查量表(SAEBRS;Kilgus & von der Embse,2014)的因素结构,在学生(个体内)和教师或评分者(个体间)层面进行结构检验。然后,项目反应理论(IRT)分析用于检验834名中小学生样本中2个现有因素(社会风险和学业风险)以及新引入的第三个因素(情绪风险)的功能。结果表明,包含新增情绪行为分量表的双因素模型拟合良好。IRT分析表明,SAEBRS的19个项目中有17个具有较强的项目层面区分性(a>1.0),并表明在每个维度(社会、学业和行为风险)的低到中等范围内,量表精度最高。总体而言,研究结果支持将SAEBRS用作心理健康相关问题的筛查工具。文中讨论了模型解释和模型使用的意义。(PsycINFO数据库记录)

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