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用于描述学区智力迟钝和学习障碍患病率的解释模型。

Explanatory model to describe school district prevalence rates for mental retardation and learning disabilities.

作者信息

McDermott S

机构信息

University of South Carolina School of Medicine.

出版信息

Am J Ment Retard. 1994 Sep;99(2):175-85.

PMID:7803034
Abstract

Data reports from South Carolina's 92 independent school districts were used to calculate prevalence rates of mental retardation and learning disabilities among school-age children. These prevalence rates were 41.66/1,000 children enrolled for mental retardation and 33.21/1,000 children enrolled for learning disabilities. The 1980-1981 school year was selected because this was the last year in which disaggregated reports were submitted for placement in educable mental handicap (EMH), trainable mental handicap (TMH), and profound mental handicap (PMH) programs. Exploratory factor analysis and multiple regression analysis were used to explain school district prevalence rates of categorization of children into programs for mental retardation and learning disabilities. Results show that community SES and tax inputs explain 39% of the variation in prevalence rates and that these factors affect rates indirectly.

摘要

南卡罗来纳州92个独立学区的数据报告被用于计算学龄儿童中智力迟钝和学习障碍的患病率。这些患病率分别为每1000名入学儿童中有41.66名智力迟钝儿童以及每1000名入学儿童中有33.21名学习障碍儿童。之所以选择1980 - 1981学年,是因为这是最后一年提交了关于可教育智力障碍(EMH)、可训练智力障碍(TMH)和重度智力障碍(PMH)项目安置的分类报告。探索性因素分析和多元回归分析被用于解释学区将儿童分类到智力迟钝和学习障碍项目中的患病率。结果表明,社区社会经济地位(SES)和税收投入解释了患病率变化的39%,并且这些因素间接影响患病率。

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