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The Power of Theory Research Design and Transdisciplinary Integration in Moving Psychopathology Forward

机译:理论研究设计和跨学科整合在推动精神病理学发展中的力量

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摘要

While the past few decades have seen much work in psychopathology research that has yielded provocative insights, relatively little progress has been made in understanding the etiology of mental disorders. We contend that this is due to an overreliance on statistics and technology with insufficient attention to adequacy of experimental design, a lack of integration of data across various domains of research, and testing of theoretical models using relatively weak study designs. We provide a conceptual discussion of these issues and follow with a concrete demonstration of our proposed solution. Using two different disorders – depression and substance use – as examples, we illustrate how we can evaluate competing theories regarding their etiology by integrating information from various domains including latent variable models, neurobiology, and quasi-experimental data such as twin and adoption studies, rather than relying on any single methodology alone. More broadly, we discuss the extent to which such integrative thinking allows for inferences about the etiology of mental disorders, rather than focusing on descriptive correlates alone. Greater scientific insight will require stringent tests of competing theories and a deeper conceptual understanding of the advantages and pitfalls of methodologies and criteria we use in our studies.
机译:尽管在过去的几十年中,精神病理学研究取得了许多令人振奋的见解,但在理解精神障碍的病因方面却进展甚微。我们认为,这是由于对统计和技术的过度依赖,对实验设计的充分性缺乏足够的重视,缺乏在各个研究领域的数据集成,以及使用相对较弱的研究设计对理论模型的测试。我们提供了有关这些问题的概念性讨论,并随后对我们提出的解决方案进行了具体演示。以抑郁症和药物滥用这两种不同的疾病为例,我们说明了如何通过整合来自各个领域的信息(包括潜在变量模型,神经生物学和准实验数据,例如双胞胎和收养研究)来评估有关其病因的竞争性理论。而不是仅依靠任何单一方法。更广泛地说,我们讨论了这种综合思维在多大程度上可以推断出精神障碍的病因,而不是仅仅关注描述性相关因素。更大的科学见识将需要对竞争性理论进行严格的测试,并对我们在研究中使用的方法和标准的优势和不足进行更深入的概念性理解。

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