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Stanford -Binet profile differences between normative children and those with learning disabilities or ADHD.

机译:Stanford -Binet剖析了规范性儿童与有学习障碍或ADHD的儿童之间的差异。

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摘要

The prevalence of learning disorders (LD) and attention-deficit disorders (ADHD) in school-aged children has received a great deal of interest for decades. The history, defining characteristics and methods of assessment remain relevant as many school-aged children continue to receive these diagnoses. The assessment of LD and ADHD can be a difficult and time-consuming process which involves numerous testing instruments and clinical interviews. Both diagnoses typically require intelligence testing, achievement testing, personality assessment and behavioral or syndrome specific testing. The current study sought to develop subtest profiles for the Stanford-Binet Intelligence Scale, Fifth Edition that would serve to streamline the assessment battery for each diagnosis. Specific subtest profiles were constructed and found to have significantly different strengths and weaknesses as compared to those in normative control samples. However, due to variability within the clinical and control samples, the usefulness of the profile patterns or composites should not be used in isolation. Instead, subtest profiles should be used in conjunction with other measures of behavior, achievement or syndrome specific tests to establish clinical hypotheses of the presence of LD or ADHD.
机译:数十年来,学龄儿童的学习障碍(LD)和注意力缺陷障碍(ADHD)的患病率引起了人们的极大兴趣。随着许多学龄儿童继续接受这些诊断,历史,定义特征和评估方法仍然很重要。 LD和ADHD的评估可能是一个困难且耗时的过程,其中涉及许多测试仪器和临床访谈。两种诊断通常都需要智力测试,成就测试,性格评估以及行为或综合症特定测试。当前的研究试图为Stanford-Binet智力量表(第五版)开发子测试配置文件,以简化每次诊断的评估程序。构建了特定的子测试配置文件,发现与标准对照样本相比,它们具有明显不同的优点和缺点。但是,由于临床样品和对照样品之间的差异,因此不应单独使用轮廓图案或复合材料的有用性。取而代之的是,应将子测验档案与其他行为,成就或综合症特定测验结合使用,以确定是否存在LD或ADHD的临床假设。

著录项

  • 作者

    Tippin, Seth Michael.;

  • 作者单位

    George Fox University.;

  • 授予单位 George Fox University.;
  • 学科 Psychology Clinical.;Psychology Developmental.
  • 学位 Psy.D.
  • 年度 2008
  • 页码 74 p.
  • 总页数 74
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:42

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