Toward rigorous idiographic research in prevention science: comparison between three analytic strategies for testing preventive intervention in very small samples.
Toward rigorous idiographic research in prevention science: comparison between three analytic strategies for testing preventive intervention in very small samples.
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DOI：
10.1007/s11121-012-0311-4
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发表时间：
2013-06
影响因子：
3.5
通讯作者：
Lich, Kristen Hassmiller
中科院分区：
文献类型：
--
作者：
Ridenour, Ty A.;Pineo, Thomas Z.;Molina, Mildred M. Maldonado;Lich, Kristen Hassmiller
关键词：
心理社会预防研究缺乏来自密集的人内研究的证据，无法理解与发展和干预反应有关的具体过程。这些数据可以用来填补文献中的空白，扩大预防研究人员的研究设计选择，包括成本较低但严格的研究(例如，计划评估)、试点研究、设计以测试低患病率结果的计划、选择性/指征/适应性干预研究，以及对计划差异反应的理解。这项研究比较了为这类研究设计的三种竞争分析策略：自回归移动平均法、混合模型轨迹分析和P技术。说明性的时间序列数据来自一项旨在改善血糖控制的疗养院居民糖尿病干预的试点研究(N=4)。采用的是人内间歇性基线设计。对聚合样本和单个患者使用每种策略来检测干预效果。P技术模型最接近地复制了观察到的血糖水平。ARIMA和P技术模型在估计干预效果和模拟血糖水平方面最为相似。然而，ARIMA和P技术对缺失数据、异常值和观察次数也更敏感。统计检验表明，结果既适用于其他人，也适用于具体的纵向过程。这项研究证明了具体研究在预防科学中的潜在贡献，以及模拟研究的必要性，以描述当每种分析方法对于得出正确的参数估计是最佳的研究环境。
Psychosocial prevention research lacks evidence from intensive within-person lines of research to understand idiographic processes related to development and response to intervention. Such data could be used to fill gaps in the literature and expand the study design options for prevention researchers, including lower-cost yet rigorous studies (e.g., for program evaluations), pilot studies, designs to test programs for low prevalence outcomes, selective/indicated/ adaptive intervention research, and understanding of differential response to programs. This study compared three competing analytic strategies designed for this type of research: autoregressive moving average, mixed model trajectory analysis, and P-technique. Illustrative time series data were from a pilot study of an intervention for nursing home residents with diabetes (N=4) designed to improve control of blood glucose. A within-person, intermittent baseline design was used. Intervention effects were detected using each strategy for the aggregated sample and for individual patients. The P-technique model most closely replicated observed glucose levels. ARIMA and P-technique models were most similar in terms of estimated intervention effects and modeled glucose levels. However, ARIMA and P-technique also were more sensitive to missing data, outliers and number of observations. Statistical testing suggested that results generalize both to other persons as well as to idiographic, longitudinal processes. This study demonstrated the potential contributions of idiographic research in prevention science as well as the need for simulation studies to delineate the research circumstances when each analytic approach is optimal for deriving the correct parameter estimates.
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影响因子：
3.9
作者：
Russell, Robert L.;Jones, Marylouise E.;Miller, Steven A.
通讯作者：
Miller, Steven A.
影响因子：
3.5
作者：
Howe, George W.;Beach, Steven R. H.;Brody, Gene H.
通讯作者：
Brody, Gene H.
影响因子：
3.7
作者：
Boker, Steven M.;Molenaar, Peter C. M.;Nesselroade, John R.
通讯作者：
Nesselroade, John R.
影响因子：
3.3
作者：
Borkenau, P;Ostendorf, F
通讯作者：
Ostendorf, F
影响因子：
3.1
作者：
Biglan, A;Ary, D;Henderson, J
通讯作者：
Henderson, J