Jason D Jones, Rhonda C Boyd, Akira Di Sandro, Monica E Calkins, Andres De Los Reyes, Ran Barzilay, Jami F Young, Tami D Benton, Ruben C Gur, Tyler M Moore, Raquel E Gur
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引用次数: 0
Abstract
Accumulating evidence supports the presence of a general psychopathology dimension, the p factor ('p'). Despite growing interest in the p factor, questions remain about how p is assessed. Although multi-informant assessment of psychopathology is commonplace in clinical research and practice with children and adolescents, almost no research has taken a multi-informant approach to studying youth p or has examined the degree of concordance between parent and youth reports. Further, estimating p requires assessment of a large number of symptoms, resulting in high reporter burden that may not be feasible in many clinical and research settings. In the present study, we used bifactor multidimensional item response theory models to estimate parent- and adolescent-reported p in a large community sample of youth (11-17 years) and parents (N = 5,060 dyads). We examined agreement between parent and youth p scores and associations with assessor-rated youth global functioning. We also applied computerized adaptive testing (CAT) simulations to parent and youth reports to determine whether adaptive testing substantially alters agreement on p or associations with youth global functioning. Parent-youth agreement on p was moderate (r =.44) and both reports were negatively associated with youth global functioning. Notably, 7 out of 10 of the highest loading items were common across reporters. CAT reduced the average number of items administered by 57%. Agreement between CAT-derived p scores was similar to the full form (r =.40) and CAT scores were negatively correlated with youth functioning. These novel results highlight the promise and potential clinical utility of a multi-informant p factor approach.
越来越多的证据表明,存在着一种普遍的精神病理学维度,即 p 因子('p')。尽管人们对 p 因子的兴趣与日俱增,但关于如何评估 p 的问题依然存在。尽管在儿童和青少年的临床研究和实践中,对精神病理学进行多信息评估已是司空见惯的事情,但几乎没有研究采用多信息方法来研究青少年的 p,也没有研究父母和青少年报告之间的一致程度。此外,估计 p 需要对大量症状进行评估,这就给报告者带来了很大的负担,在许多临床和研究环境中可能并不可行。在本研究中,我们使用了双因素多维项目反应理论模型来估算父母和青少年报告的 p,该模型是在一个大型的青少年(11-17 岁)和父母(5,060 对)社区样本中进行的。我们考察了家长和青少年 P 分数之间的一致性,以及与评估者评定的青少年整体功能的关联。我们还对家长和青少年的报告进行了计算机适应性测试(CAT)模拟,以确定适应性测试是否会大幅改变 p 的一致性或与青少年整体功能的关联。家长和青少年在 p 方面的一致程度适中(r =.44),并且这两份报告都与青少年的整体功能呈负相关。值得注意的是,在 10 个负载最高的项目中,有 7 个项目在不同报告中是相同的。计算机辅助测量将平均施测项目数量减少了 57%。CAT得出的p得分与完整表格(r=.40)之间的一致性相似,CAT得分与青少年功能呈负相关。这些新颖的结果凸显了多信息 p 因子方法的前景和潜在的临床实用性。