Dynamic p-technique for modeling patterns of data: applications to pediatric psychology research.
Dynamic p-technique for modeling patterns of data: applications to pediatric psychology research.
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DOI：
10.1093/jpepsy/jsr023
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发表时间：
2011-10
影响因子：
3.6
通讯作者：
Timothy D. Nelson;Brandon S. Aylward;J. Rausch
中科院分区：
文献类型：
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作者：
Timothy D. Nelson;Brandon S. Aylward;J. Rausch
目的动态p-技术（DPT）是一种潜在的有用的统计方法，用于检查动态结构之间的关系，在一个单一的个人或一小群人随着时间的推移。本文的目的是提供一个非技术性的介绍DPT。方法概述了DPT分析，重点是潜在的应用，儿科心理学研究，提供。为了说明如何DPT可能会被应用，使用模拟数据的例子是日常疼痛和负面情绪评级。结果模拟实例展示了DPT在相关儿科心理学研究领域的应用。此外，DPT在依从性纵向研究中的潜在应用也被提出。结论：虽然DPT在儿科心理学中没有被经常使用，但它可能特别适合于这一领域的研究，因为它能够从非常小的样本中对重复观察进行有力的建模。
OBJECTIVE Dynamic p-technique (DPT) is a potentially useful statistical method for examining relationships among dynamic constructs in a single individual or small group of individuals over time. The purpose of this article is to offer a nontechnical introduction to DPT. METHOD An overview of DPT analysis, with an emphasis on potential applications to pediatric psychology research, is provided. To illustrate how DPT might be applied, an example using simulated data is presented for daily pain and negative mood ratings. RESULTS The simulated example demonstrates the application of DPT to a relevant pediatric psychology research area. In addition, the potential application of DPT to the longitudinal study of adherence is presented. CONCLUSION Although it has not been utilized frequently within pediatric psychology, DPT could be particularly well-suited for research in this field because of its ability to powerfully model repeated observations from very small samples.