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A TYPOLOGY OF CHILD SCHOOL BEHAVIOR: INVESTIGATION USING LATENT PROFILE ANALYSIS AND CLUSTER ANALYSIS

机译:儿童行为的类型:使用潜在个人资料分析和聚类分析的调查

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摘要

To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set, whereas cluster analysis was conducted within each latent profile. The resulting classification system included three latent profiles: (a) Adequate Adjustment (AA), (b) Mild Adjustment Difficulties (MAD), and (c) Functionally Impaired Adjustment (FIA). The AA latent profile included the (a) Well-Adapted, (b) Average, and (c) Worry clusters. The clusters identified within the MAD latent profile were (a) Academic Problems, (b) Physical Complaints, (c) Disruptive Behavior Problems, and (d) Internalizing Problems. Finally, the FIA latent profile comprised the (a) Clinical Problems-External and (b) Clinical Problems-Internal clusters.
机译:为了描述和促进儿童学校行为模式的识别,我们使用第二版《儿童教师行为评估系统》的规范数据(N = 2,338)开发了儿童学校行为的类型(6-11岁)。子表格)。对整个数据集进行潜在特征分析,而对每个潜在特征进行聚类分析。最终的分类系统包括三个潜在特征:(a)适当调整(AA),(b)轻微调整困难(MAD)和(c)功能受损调整(FIA)。 AA的潜在特征包括(a)适应性强,(b)平均和(c)担忧类。在MAD潜在特征中识别出的集群是(a)学术问题,(b)身体投诉,(c)干扰行为问题和(d)内部化问题。最后,FIA的潜在特征包括(a)临床问题-外部和(b)临床问题-内部。

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