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测试信息提供者的差异作为青少年早期精神病理学的预测指标:为什么差异分数不能告诉您想知道的内容,以及多项式回归如何可以。

Testing informant discrepancies as predictors of early adolescent psychopathology: why difference scores cannot tell you what you want to know and how polynomial regression may.

机构信息

Department of Psychology, University of New Orleans, New Orleans, LA 70148, USA.

出版信息

J Abnorm Child Psychol. 2013 Jan;41(1):1-14. doi: 10.1007/s10802-012-9659-y.

Abstract

Multiple informants commonly disagree when reporting child and family behavior. In many studies of informant discrepancies, researchers take the difference between two informants' reports and seek to examine the link between this difference score and external constructs (e.g., child maladjustment). In this paper, we review two reasons why difference scores cannot serve as unambiguous predictors of outcomes. Further, we use polynomial regression analyses to both test the validity of difference scores and provide a more direct test of the hypothesis that discrepancies in parent and child reports predict child psychopathology. Data from 218 parent-adolescent dyads (M adolescent age = 11.5 years, 51 % female; 49 % European American, 47 % African American) were used to predict adolescent-reported antisocial behavior and depression from parent and adolescent reports of parent-adolescent conflict, parental knowledge, parental acceptance, adolescent rule-breaking behavior, and adolescent pubertal development. Results demonstrate that analyses using difference scores do not provide valid tests of the utility of informant discrepancies in predicting adolescent psychosocial maladjustment. However, interaction terms in polynomial regression analyses provide evidence that informant discrepancies predict child psychopathology. Parent-adolescent informant discrepancies predict adolescent psychopathology but researchers should avoid using difference scores to measure informant discrepancies. Polynomial regression analyses provide more comprehensive and accurate tests of whether informant discrepancies predict child and adolescent psychopathology.

摘要

当报告儿童和家庭行为时,多个信息提供者通常会有分歧。在许多信息提供者差异的研究中,研究人员会取两个信息提供者报告之间的差异,并试图研究这种差异分数与外部结构(例如儿童适应不良)之间的联系。在本文中,我们回顾了差异分数不能作为明确的结果预测指标的两个原因。此外,我们使用多项式回归分析来检验差异分数的有效性,并提供更直接的测试,即父母和儿童报告中的差异是否预测儿童的心理病理学。来自 218 对父母-青少年的数据集(青少年平均年龄为 11.5 岁,51%为女性;49%为欧洲裔美国人,47%为非裔美国人)被用于预测青少年报告的反社会行为和抑郁,这些预测是基于父母和青少年对父母-青少年冲突、父母知识、父母接受程度、青少年违规行为和青少年青春期发展的报告。结果表明,使用差异分数的分析并不能有效地检验信息提供者差异在预测青少年心理社会适应不良方面的效用。然而,多项式回归分析中的交互项提供了证据表明,信息提供者的差异可以预测儿童的心理病理学。父母-青少年信息提供者的差异预测了青少年的心理病理学,但研究人员应避免使用差异分数来衡量信息提供者的差异。多项式回归分析提供了更全面和准确的检验,以确定信息提供者的差异是否预测儿童和青少年的心理病理学。

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