基于依恋的儿童家庭画分类:幼儿园儿童心理测量特征及其与适应的关系。

R C Pianta, K Longmaid, J E Ferguson
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引用次数: 88

摘要

研究了卡普兰和梅因(1986)提出的基于依恋的理论框架和分类系统,用于解释儿童家庭绘画。本研究的重点是该系统的心理测量特性,以及使用该系统分类的图画与教师课堂社会情感和行为功能评分之间的关系,控制了儿童年龄、种族地位、智力和精细运动技能。本非临床样本由200名不同种族和社会经济地位(SES)的幼儿园儿童组成。该分类系统的可靠性得到了有限的支持。图的整体分类(例如,安全)的kappa超过0.80,离散图特征(例如,带微笑的图形)的平均kappa为0.82。编码人员对某些离散绘图特征的认可预测了他们的总体分类准确率为82.5%。绘画分类与教师对课堂功能的评分相关,与儿童年龄、性别、种族、社会经济地位、智力和精细运动技能无关(多元影响的p值范围为0.043 - 0.001)。结果讨论了该系统的心理测量特性,用于分类儿童的家庭表示和限制的家庭绘画技术为年幼的孩子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attachment-based classifications of children's family drawings: psychometric properties and relations with children's adjustment in kindergarten.

Investigated an attachment-based theoretical framework and classification system, introduced by Kaplan and Main (1986), for interpreting children's family drawings. This study concentrated on the psychometric properties of the system and the relation between drawings classified using this system and teacher ratings of classroom social-emotional and behavioral functioning, controlling for child age, ethnic status, intelligence, and fine motor skills. This nonclinical sample consisted of 200 kindergarten children of diverse racial and socioeconomic status (SES). Limited support for reliability of this classification system was obtained. Kappas for overall classifications of drawings (e.g., secure) exceeded .80 and mean kappa for discrete drawing features (e.g., figures with smiles) was .82. Coders' endorsement of the presence of certain discrete drawing features predicted their overall classification at 82.5% accuracy. Drawing classification was related to teacher ratings of classroom functioning independent of child age, sex, race, SES, intelligence, and fine motor skills (with p values for the multivariate effects ranging from .043-.001). Results are discussed in terms of the psychometric properties of this system for classifying children's representations of family and the limitations of family drawing techniques for young children.

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