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The Collaboration on Attachment Transmission Synthesis (CATS): A Move to the Level of Individual-Participant-Data Meta-Analysis

机译:附件传输合成的合作(CAT):移动到个体参与者数据级分析的水平

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Generations of researchers have tested and used attachment theory to understand children's development. To bring coherence to the expansive set of findings from small-sample studies, the field early on adopted meta-analysis. Nevertheless, gaps in understanding intergenerational transmission of individual differences in attachment continue to exist. We discuss how attachment research has been addressing these challenges by collaborating in formulating questions and pooling data and resources for individual-participant-data meta-analyses. The collaborative model means that sharing hard-won and valuable data goes hand in hand with directly and intensively interacting with a large community of researchers in the initiation phase of research, deliberating on and critically reviewing new hypotheses, and providing access to a large, carefully curated pool of data for testing these hypotheses. Challenges in pooling data are also discussed.
机译:几代研究人员已经测试过附着理论以了解儿童的发展。 从小型样本研究中促进广泛的调查结果,早期采用荟萃分析。 然而,在理解附着在附着物中各个差异的代际传播的差距继续存在。 我们讨论如何通过合作制定问题和汇集数据和资源来解决个人参与者数据元分析的资源来解决这些挑战。 协作模型意味着分享硬盘和有价值的数据,直接和集中地与研究,审议和批判性地审查新假设的大型研究人员进行与大型研究人员进行互动,并提供对大型,仔细的访问 用于测试这些假设的数据策划池。 还讨论了汇集数据中的挑战。

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