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教师数据与评估知识及应用(tKUDA)量表的拉施分析

Rasch Analysis of the Teachers' Knowledge and Use of Data and Assessment (tKUDA) Measure.

作者信息

Donovan Courtney

机构信息

Courtney Donovan, University of Colorado Denver, Research Center, School of Education and Human Development, P. O. Box 1503, Idaho Springs, CO 80452, USA,

出版信息

J Appl Meas. 2018;19(1):76-92.

Abstract

Teachers are expected to use data and assessments to drive their instruction. This is accomplished at a classroom level via the assessment process. The teachers Knowledge and Use of Data and Assessment (tKUDA) measure was created to capture teachers' knowledge and use of this assessment process. This paper explores the measure's utility using Rasch analysis. Evidence of reliability and validity was seen for both knowledge and use factors. Scale was used as expected and item analyses demonstrates good spread with a few items identified for future revision. Item difficulty and results are connected back to literature. Findings support use of this measure to identify teachers' knowledge and use of data and assessment in classroom practice.

摘要

教师应利用数据和评估来推动教学。这是通过评估过程在课堂层面实现的。教师的数据和评估知识与运用(tKUDA)测评旨在获取教师对这一评估过程的知识和运用情况。本文运用拉施分析探讨该测评的效用。知识和运用因素均呈现出可靠性和有效性的证据。量表按预期使用,项目分析显示分布良好,有几个项目有待未来修订。项目难度和结果与文献相关联。研究结果支持使用该测评来识别教师在课堂实践中对数据和评估的知识及运用情况。

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