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Ratings of everyday academic and cognitive skills in evaluation of school learning and learning problems: initial scale development and validation

机译:评估学校学习和学习问题中日常学术和认知技能的等级:初始量表的开发和验证

摘要

Although research supports the use of measures of typical performance forassessing academic and cognitive skills, there are currently few such measures inexistence. Other measures have been used for research purposes, but they are not normedon a large, nationally-representative sample. The Ratings of Everyday Academic andCognitive Skills (REACS) was created to address the need for a measure of typicalacademic and cognitive skills. The goal of the REACS is to provide a timely, easy toadminister, and comprehensive assessment of a child's typical functioning in variousacademic and cognitive domains. The purpose for this dissertation was to develop theinitial scale and conduct analyses to provide evidence of its reliability and validity.In an attempt to provide preliminary evidence of the validity of scores from thismeasure, Parent (n = 142) and Teacher (n = 109) REACS forms were collected for dataanalysis. A subsample of parents and teachers completed forms to examine interrater andtest-retest reliability. A group of children (n = 32) were assessed with measures ofacademic achievement, cognitive ability, and memory for comparison to the REACS. Results generally showed high internal consistency, yet less reliable test-retestand interrater reliability. While the confirmatory factor analysis (CFA) of the parentscale supported a factor structure that approximated the intended structure of theREACS, a better fit was found with a simpler model for the teacher scale. Finally, boththe Parent and Teacher REACS forms were found to predict academic achievementbetter than cognitive ability. The predictive ability of the REACS was enhanced whenused in conjunction with a measure of cognitive ability.
机译:尽管研究支持使用典型表现的量度来评估学术和认知技能,但目前几乎没有这样的量度。其他措施已用于研究目的,但并未在具有国家代表性的大型样本中进行规范。创建日常学术和认知技能等级(REACS)是为了解决对衡量典型学术和认知技能的需求。 REACS的目标是对各种学术和认知领域的孩子的典型功能提供及时,易于管理和全面的评估。本文的目的是开发初始量表并进行分析,以提供其信度和效度的证据。为初步评估该方法的有效性,父母(n = 142)和教师(n = 109)收集REACS表格以进行数据分析。父母和教师的一个子样本填写了表格,以检查间质和重测信度。评估一组儿童(n = 32)的学业成绩,认知能力和记忆力,以与REACS进行比较。结果通常显示出较高的内部一致性,但可靠性较差,重测和间期可靠性较低。尽管父母规模的确认性因素分析(CFA)支持的因素结构近似于REACS的预期结构,但使用更简单的教师规模模型可以找到更好的拟合度。最后,发现父母和教师的REACS形式都比认知能力更好地预测学业成绩。结合认知能力的测量,可以提高REACS的预测能力。

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  • 作者

    Lamb Gordon Dale;

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  • 年度 2008
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  • 原文格式 PDF
  • 正文语种 en_US
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