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Social competence of children with learning disabilities.

机译:学习障碍儿童的社会能力。

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This study examines the predictors of social competence of 200 children ages 7-11 who were referred for school related problems to a learning disabilities clinic. This study focuses on four key questions: (1) does cognitive ability in general, or specific components thereof, predict social competence; (2) do specific demographic variables, (gender, age, and SES), predict social competence? Are these specified demographic variables better predictors of social competence than cognitive abilities; (3) do cognitive abilities interact with the specified demographic variables to predict social competence; (4) does the capacity to sustain attention predict social competence, and is it a better predictor than cognitive abilities or specified demographic variables?; A series of analysis of variance models was used to determine the best predictors of social competence as measured by the Social Competence Scale of the Child Behavior Checklist (CBCL) in this sample of children. These models investigated the individual and combined contributions of: (1) cognitive variables (full scale, subscale, and index scores of the Wechsler Intelligence Scale for Children-Revised (WISC-R), (2) demographic variables, and (3) capacity for attention (CBCL Attention subscale and Freedom from Distractibility Index (WISC-R)).; The results indicate that social competence, as measured by the CBCL, varies as a function of overall intelligence, capacity for attention, and SES. Of these, intelligence, which encompasses both verbal and nonverbal abilities, emerges as the best predictor such that higher abilities predict higher social competence scores. Higher SES also predicts higher social competence scores. Gender and age differences were not found. This dissertation addresses some methodological concerns of previous research: instrument selection; relationships between key variables; range of IQ; and the need to include attention, gender, age and SES as predictor variables.; Findings indicate the importance of understanding the interactions between social competence, learning disabilities, and attention difficulties. Increased understanding could result in better identification of the social difficulties of children with learning disabilities and more appropriate treatment plans. A more complex model of social competence of children with learning disabilities is needed to increase understanding of the cognitive underpinnings of social competence difficulties while taking into account presence of biologically based factors such as attention difficulties and demographic factors such as SES.
机译:这项研究调查了200名7-11岁儿童的社会能力预测因素,这些儿童因与学校有关的问题而转诊到学习障碍诊所。这项研究集中在四个关键问题上:(1)总体上或特定组成部分的认知能力能否预测社交能力? (2)特定的人口统计学变量(性别,年龄和SES)是否可以预测社会能力?这些特定的人口统计学变量是否比认知能力更能预测社会能力? (3)认知能力是否与指定的人口统计学变量相互作用以预测社交能力; (4)维持注意力的能力是否能预测社交能力,它是否比认知能力或特定的人口统计学变量更好地预测?使用一系列方差分析模型来确定社会能力的最佳预测因子,该预测因子是通过该儿童样本中儿童行为清单的社会能力量表(CBCL)来衡量的。这些模型调查了以下方面的个体和综合贡献:(1)认知变量(儿童修订的韦氏智力量表(WISC-R)的完整量表,子量表和指数评分,(2)人口统计学变量,以及(3)能力(CBCL注意子量表和免于分心指数(WISC-R));结果表明,以CBCL衡量,社会能力随整体智力,注意力能力和SES的变化而变化。包括言语和非言语能力的智力成为最好的预测指标,即较高的能力预示着较高的社会能力得分;较高的SES也预示较高的社会能力得分;未发现性别和年龄差异。研究:仪器选择;关键变量之间的关系;智商范围;以及需要将注意力,性别,年龄和SES作为预测变量。 gs表示了解社交能力,学习障碍和注意困难之间相互作用的重要性。增进了解可以更好地识别学习障碍儿童的社会困难并制定更适当的治疗计划。需要一个更复杂的学习障碍儿童的社会能力模型,以加深对社会能力障碍的认知基础的理解,同时考虑到存在基于生物学的因素,例如注意力困难和人口统计学因素,例如SES。

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