Dr. Leo Kannerhuis and REACH-AUT, Doorwerth, The Netherlands.
Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
PLoS One. 2020 Dec 15;15(12):e0243298. doi: 10.1371/journal.pone.0243298. eCollection 2020.
The network approach to psychological phenomena advances our understanding of the interrelations between autism and well-being. We use the Perceived Causal Relations methodology in order to (i) identify perceived causal pathways in the well-being system, (ii) validate networks based on self-report data, and (iii) quantify and integrate clinical expertise in autism research. Trained clinicians served as raters (N = 29) completing 374 cause-effects ratings of 34 variables on well-being and symptomatology. A subgroup (N = 16) of raters chose intervention targets in the resulting network which we found to match the respective centrality of nodes. Clinicians' perception of causal relations was similar to the interrelatedness found in self-reported client data (N = 323). We present a useful tool for translating clinical expertise into quantitative information enabling future research to integrate this in scientific studies.
网络方法在心理现象方面的应用推进了我们对自闭症与幸福感之间相互关系的理解。我们采用感知因果关系方法，（i）确定幸福感系统中的感知因果途径，（ii）基于自我报告数据验证网络，以及（iii）量化并整合自闭症研究中的临床专业知识。经过培训的临床医生担任评估者（N=29），对幸福感和症状学的 34 个变量的 374 个因果效应进行评分。评估者的一个小组（N=16）选择了网络中干预的目标，我们发现这与节点的相应中心度相匹配。临床医生对因果关系的感知与自我报告的客户数据中发现的相关性相似（N=323）。我们提出了一种将临床专业知识转化为定量信息的有用工具，使未来的研究能够将其纳入科学研究中。
