The influence of sociodemographics and gender on the disproportionate identification of minority students as having learning disabilities

The influence of sociodemographics and gender on the disproportionate identification of minority students as having learning disabilities
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DOI:
10.1177/074193250202300107
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发表时间:
2002-01-01
影响因子:
2.4
通讯作者:
Best, AM
Best, AM
中科院分区:
教育学2区
文献类型:
--
作者:
Coutinho, MJ;Oswald, DP;Best, AM

文献摘要

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本研究的目的是调查的程度,性别和种族/民族的障碍,学生被确定为有学习障碍(LID),并调查之间的关系,障碍和社会人口因素。使用美国民权办公室收集的具有代表性的数据,本研究探讨了性别,种族和社会人口因素对被确定为患有LID的学生比例的影响。结果表明,种族和性别之间存在明显的联系,被确定为LID学生的几率。一个学区的社会人口因素也被发现与被确定为患有LID的学生比例密切相关。一个逻辑回归模型,包括9个社会人口学变量,性别和种族,是显着更好地预测LD识别比模型,包括社会人口学预测。调整后的比值比说明了如何识别LD的可能性变化时,社会人口的影响被考虑在内。研究结果表明,无论是个别学生的特点和地区的社会人口特征是重要的,在确定LID识别的可能性和社会人口特征的影响是不同的性别种族群体。
The purpose of this study was to Investigate the extent of gender and race/ethnicity disproportionality among students Identified as having learning disabilities (LID) and to investigate relationships between disproportionality and sociodemographic factors. Using notionally representative data collected by the U.S. Office for Civil Rights, this study examined the effects of gender, ethnicity, and sociodemographic factors on the proportion of students who are identified as having LID. Results indicated a clear association between ethnicity and gender and the odds of being identified as a student with LID. Sociodemographic factors for a school district were also found to be strongly associated with the proportion of students identified as having LID. A logistic regression model that included the nine sociodemographic variables, gender, and race, was significantly better at predicting LD identification than a model that included sociodemographic predictors alone. Adjusted odds ratios illustrated how the likelihood of identifying LD changes when sociodemographic influences are taken into account. Findings indicated that both individual student characteristics and district sociodemographic characteristics are important in determining the likelihood of LID identification and that the impact of the sociodemographic characteristics is different for each of the gender-ethnicity groups.