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用于筛查有社交、情感和行为问题风险学生的教师评定量表的测量效率。

Measurement Efficiency of a Teacher Rating Scale to Screen for Students at Risk for Social, Emotional, and Behavioral Problems.

作者信息

Casale Gino, Herzog Moritz, Volpe Robert J

机构信息

School of Education, Institute for Educational Research, University of Wuppertal, Gaußstraße 20, 42119 Wuppertal, Germany.

Department of Applied Psychology, Northeastern University, Boston, MA 02115, USA.

出版信息

J Intell. 2023 Mar 19;11(3):57. doi: 10.3390/jintelligence11030057.

Abstract

Teacher rating scales are broadly used for psycho-educational assessment in schools. In particular, they play an important role in screening students for social, emotional, and behavioral problems. In order to optimize the efficiency of these measures, it is important to minimize the number of items comprising them while maintaining sound psychometric characteristics. This study examines the measurement efficiency of a teacher rating scale for student social, emotional, and behavioral risk. The goal was to shorten an existing behavior screening tool. A total of 139 classroom teachers and 2566 students from Grades 1-6 (M = 8.96 years, SD = 1.61) participated in the study. In sum, 35 items assessing internalizing and externalizing behavior problems were analyzed applying the item response theory (generalized partial credit model). The results show that social, emotional, and behavioral risks can be captured with a total of 12 items. This reduction of almost 66% of the initial item pool would take teachers about 90 s to fill out for one student. Thus, the rating scale can be used by teachers in an efficient yet psychometrically sound manner.

摘要

教师评定量表在学校的心理教育评估中被广泛使用。特别是,它们在筛查学生的社交、情感和行为问题方面发挥着重要作用。为了优化这些测评的效率,在保持良好心理测量学特征的同时,尽量减少构成这些测评的项目数量非常重要。本研究考察了一种用于评估学生社交、情感和行为风险的教师评定量表的测量效率。目标是缩短现有的行为筛查工具。共有139名任课教师和来自1至6年级的2566名学生(平均年龄M = 8.96岁,标准差SD = 1.61)参与了这项研究。总之,运用项目反应理论(广义部分计分模型)对35个评估内化和外化行为问题的项目进行了分析。结果表明,总共12个项目就能涵盖社交、情感和行为风险。最初项目库中近66%的项目减少后,教师为一名学生填写量表大约需要90秒。因此,该评定量表可供教师以高效且心理测量学可靠的方式使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3117/10057924/58e559699f74/jintelligence-11-00057-g001.jpg

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