基于课堂策略评估系统的教师自我报告与学校管理者观察评分的融合

IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH
Nicole B. Wiggs, L. Reddy, Ryan J. Kettler, Anh N. Hua, C. Dudek, Adam J. Lekwa, B. Bronstein
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引用次数: 1

摘要

课堂策略评估系统(CSAS)是对教师使用研究型教学和行为管理策略的多评分者、多方法(直接观察和评分量表方法)评估。本研究采用CSAS教师量表(CSAS- t)和观察员量表(CSAS- o)对美国15所高贫困特许学校的教师自我报告与学校管理者评价之间的关系进行了调查。CSAS-T和CSAS-O被设计为同时作为教师实践的有效形成性评估。研究结果包括CSAS-T和CSAS-O之间的小但统计学上显著的相关性。对多特质-多方法(MTMM)矩阵的分析发现,教师和观察者在测量不同的构式。与学校管理者的观察评分相比,教师自我报告的教学和行为管理策略使用之间没有平均得分差异。此外,学校管理人员和教师对整体有效性的评分相似,样本中的大多数教师被评为有效或以上。总体而言,研究结果支持使用CSAS-O和CSAS-T来指导专业发展对话。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convergence Between Teacher Self-Report and School Administrator Observation Ratings Using the Classroom Strategies Assessment System
The Classroom Strategies Assessment System (CSAS) is a multi-rater, multi-method (direct observation and rating scale methodology) assessment of teachers’ use of research-based instructional and behavior management strategies. The present study investigated the association between teacher self-report and school administrator ratings using the CSAS Teacher (CSAS-T) and Observer (CSAS-O) Forms in 15 high-poverty U.S. charter schools. The CSAS-T and CSAS-O were designed to be used concurrently as a valid formative assessment of teacher practice. Findings include small, but statistically significant correlations between the CSAS-T and CSAS-O. Analysis of a multi-trait–multi-method (MTMM) matrix found teachers and observers to be measuring different constructs. No mean score differences were found between teacher self-reported instruction and behavior management strategy use compared with school administrators’ observed ratings. Furthermore, school administrators and teachers have similar ratings of overall effectiveness, with the majority of teachers in the sample being rated at or above effective. Overall, findings offer support for using the CSAS-O and CSAS-T for guiding professional development conversations.
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来源期刊
ASSESSMENT FOR EFFECTIVE INTERVENTION
ASSESSMENT FOR EFFECTIVE INTERVENTION EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.10
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16
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