WHAT CAN SPECIFICITY DESIGNS SAY ABOUT CAUSALITY IN PSYCHOPATHOLOGY RESEARCH
WHAT CAN SPECIFICITY DESIGNS SAY ABOUT CAUSALITY IN PSYCHOPATHOLOGY RESEARCH
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DOI：
10.1037/0033-2909.110.1.129
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发表时间：
1991-07-01
影响因子：
22.4
通讯作者：
HOLLON, SD
中科院分区：
文献类型：
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作者：
GARBER, J;HOLLON, SD
精神病理学研究中的特异性设计被用来检查一个变量是否是特定疾病所独有的。当观察到非特异性时，通常假设所讨论的变量不是疾病的原因，而是一般精神病理学的非特异性后果。然而，这种推理是有缺陷的，因为它无法区分测试包含变量的特定因果模型与测试模型中特定变量的因果状态。一个变量可能是非特异性的，但仍然是因果关系，如果它是几个多个相互作用的原因之一，或者如果一个疾病分类错误已经作出。对这些复杂性的认识对所选择的精神病理学对照组的性质有影响。
Specificity designs in psychopathology research are used to examine whether a variable is unique to a given disorder. When nonspecificity is observed, it typically is assumed that the variable in question is not a cause of the disorder, but is instead a nonspecific consequence of general psychopathology. Such reasoning is flawed, however, because it fails to distinguish between testing a particular causal model containing the variable versus testing the causal status of the particular variable within the model. A variable may be nonspecific, but still causal, if it is one of several multiple interacting causes or if a nosological error has been made. A recognition of these complexities has implications for the nature of the psychopathology control group selected.