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测试环节观察结果对幼儿园儿童课堂行为的普遍性。

Generality of test-session observations to kindergarteners' classroom behavior.

作者信息

Glutting J J, McDermott P A

机构信息

Department of Educational Studies, University of Delaware, Newark 19716.

出版信息

J Abnorm Child Psychol. 1988 Oct;16(5):527-37. doi: 10.1007/BF00914264.

Abstract

Test observations are integral components in the comprehensive assessment of children's academic talents and personal adjustment. They are used to validate standardized test scores obtained during test sessions and to draw inferences about children's general pattern of learning and social adjustment. Unfortunately, little empirical justification exists for extending inferences beyond the confines of test sessions. This issue was examined with 155 kindergarten children using the Stanford Binet Observation Schedule (SBOS), a popular instrument for the summative integration of test-session observations. Children's ratings on the SBOS were used to estimate teacher-observed behavior on the Guide to the Child's Learning Style (GCLS). SBOS and GCLS scores were subjected to independent principal components analyses with varimax rotation and, thereafter, to a joint canonical variance analysis. Weighted factor composites from two SBOS dimensions constituted the predictor data set and three GCLS dimensions the criterion data set. Although multivariate statistical significance was achieved (lambda = .834, F(6,200) = 3.18, p less than .005), cannonical redundancy showed merely 9.4% of classroom behavior predictable from test-session. Results are examined in light of research on the situational specificity of behavior.

摘要

测试观察是对儿童学术才能和个人适应能力进行综合评估的重要组成部分。它们用于验证测试期间获得的标准化测试分数,并推断儿童的一般学习模式和社会适应情况。不幸的是,几乎没有实证依据支持在测试期间范围之外进行推断。使用斯坦福-比奈观察量表(SBOS)对155名幼儿园儿童进行了此项研究,SBOS是一种用于总结测试期间观察结果的常用工具。用SBOS对儿童的评分来估计教师在《儿童学习风格指南》(GCLS)上观察到的行为。对SBOS和GCLS分数进行了具有方差最大化旋转的独立主成分分析,随后进行联合典型方差分析。来自SBOS两个维度的加权因子合成构成预测数据集,来自GCLS三个维度的构成标准数据集。尽管达到了多变量统计显著性(lambda = .834,F(6,200) = 3.18,p小于.005),但典型冗余仅显示9.4%的课堂行为可从测试期间预测。根据行为情境特异性的研究对结果进行了检验。

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