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An Adjusted Probability Method for the Identification of Sociometric Status in Classrooms

机译:一种确定课堂社会计量状态的调整概率方法

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摘要

>Objective: The aim of this study was to test the performance of an adjusted probability method for sociometric classification proposed by García Bacete (GB) in comparison with two previous methods. Specific goals were to examine the overall agreement between methods, the behavioral correlates of each sociometric group, the sources for discrepant classifications between methods, the behavioral profiles of discrepant and consistent cases between methods, and age differences.>Method: We compared the GB adjusted probability method with the standard score model proposed by Coie and Dodge (CD) and the probability score model proposed by Newcomb and Bukowski (NB). The GB method is an adaptation of the NB method, cutoff scores are derived from the distribution of raw liked most and liked least scores in each classroom instead of using fixed and absolute scores as does NB method. The criteria for neglected status are also modified by the GB method. Participants were 569 children (45% girls) from 23 elementary school classrooms (13 Grades 1–2, 10 Grades 5–6).>Results: We found agreement as well as differences between the three methods. The CD method yielded discrepancies in the classifications because of its dependence on z-scores and composite dimensions. The NB method was less optimal in the validation of the behavioral characteristics of the sociometric groups, because of its fixed cutoffs for identifying preferred, rejected, and controversial children, and not differentiating between positive and negative nominations for neglected children. The GB method addressed some of the limitations of the other two methods. It improved the classified of neglected students, as well as discrepant cases of the preferred, rejected, and controversial groups. Agreement between methods was higher with the oldest children.>Conclusion: GB is a valid sociometric method as evidences by the behavior profiles of the sociometric status groups identified with this method.
机译:>目的:该研究的目的是测试由GarcíaBacete(GB)提出的,适用于社会计量学分类的调整概率方法与之前的两种方法相比的性能。具体目标是检查方法之间的总体一致性,每个社会计量学群体的行为相关性,方法之间差异分类的来源,方法之间差异和一致病例的行为特征以及年龄差异。>方法:我们将GB调整概率方法与Coie和Dodge(CD)提出的标准评分模型以及Newcomb和Bukowski(NB)提出的概率评分模型进行了比较。 GB方法是NB方法的一种改编,截断分数是从每个教室中原始最喜欢和最不喜欢的分数的分布中得出的,而不是像NB方法那样使用固定分数和绝对分数。被忽略状态的标准也通过GB方法进行了修改。参加者来自23个小学教室(13年级1-2、10年级5-6)的569名儿童(45%的女孩)。>结果:我们发现这三种方法之间的一致性以及差异。 CD方法由于对z得分和复合尺寸的依赖性而在分类中产生差异。 NB方法在验证社会计量群体的行为特征时不是最佳方法,因为它固定的临界值用于识别偏爱的,被拒绝的和有争议的孩子,并且不能区分被忽略的孩子的正面提名和负面提名。 GB方法解决了其他两种方法的一些局限性。它改善了被忽视学生的分类,以及偏爱,被拒绝和有争议的群体的差异案例。方法与年龄最大的孩子之间的一致性更高。>结论: GB是一种有效的社会计量学方法,由使用该方法识别的社会计量学状态群体的行为概况作为证据。

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