Papa Lesther A, Litson Kaylee, Lockhart Ginger, Chassin Laurie, Geiser Christian
Department of Psychology, Utah State University, Logan UT, USA.
Department of Psychology, Arizona State University, Phoenix AZ, USA.
Front Psychol. 2015 Nov 13;6:1674. doi: 10.3389/fpsyg.2015.01674. eCollection 2015.
Testing mediation models is critical for identifying potential variables that need to be targeted to effectively change one or more outcome variables. In addition, it is now common practice for clinicians to use multiple informant (MI) data in studies of statistical mediation. By coupling the use of MI data with statistical mediation analysis, clinical researchers can combine the benefits of both techniques. Integrating the information from MIs into a statistical mediation model creates various methodological and practical challenges. The authors review prior methodological approaches to MI mediation analysis in clinical research and propose a new latent variable approach that overcomes some limitations of prior approaches. An application of the new approach to mother, father, and child reports of impulsivity, frustration tolerance, and externalizing problems (N = 454) is presented. The results showed that frustration tolerance mediated the relationship between impulsivity and externalizing problems. The new approach allows for a more comprehensive and effective use of MI data when testing mediation models.
检验中介模型对于识别那些为有效改变一个或多个结果变量而需要针对的潜在变量至关重要。此外，临床医生在统计中介研究中使用多信息源（MI）数据如今已成为常见做法。通过将MI数据的使用与统计中介分析相结合，临床研究人员可以兼收两种技术的益处。将来自多信息源的信息整合到统计中介模型中会带来各种方法学和实际操作方面的挑战。作者回顾了临床研究中MI中介分析的先前方法学途径，并提出了一种新的潜在变量方法，该方法克服了先前方法的一些局限性。本文展示了这种新方法在对冲动性、挫折耐受力和外化问题的母亲、父亲及孩子报告（N = 454）中的应用。结果表明，挫折耐受力中介了冲动性与外化问题之间的关系。这种新方法在检验中介模型时能够更全面、有效地使用MI数据。
