LIFESPAN: A tool for the computer-aided design of longitudinal studies.

LIFESPAN: A tool for the computer-aided design of longitudinal studies.
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DOI:
10.3389/fpsyg.2015.00272
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发表时间:
2015
影响因子:
3.8
通讯作者:
Lindenberger U
Lindenberger U
中科院分区:
心理学3区
文献类型:
--
作者:
Brandmaier AM;von Oertzen T;Ghisletta P;Hertzog C;Lindenberger U

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计划纵向研究的研究人员通常或多或少非正式地搜索可能的研究设计的多变量空间,包括诸如假设的真实变化方差、指标可靠性、测量场合的数量和间隔、总研究时间和样本量等维度。主要的搜索目标是选择一个研究设计,最好地解决了指导问题和假设的计划研究,同时注意适用的外部条件和限制,包括时间,金钱,可行性和伦理方面的考虑。由于纵向研究选择最终需要在约束条件下进行优化,因此它符合计算机辅助设计中优化的一般操作原则。基于功率等效理论(MacCallum等人,;冯Oertzen),我们提出了一个计算框架,以促进研究设计空间内更系统的搜索。从初始设计开始,该框架生成了一组具有相等统计能力的替代模型来检测假设效应,并描述了相关参数之间的权衡关系,例如总研究时间和测量次数。我们目前的LIFESPAN(纵向互动前端研究规划),它实现了这个框架。LIFESPAN提高了搜索最佳纵向设计的效率、广度和精度。其初始版本可在http://www.brandmaier.de/lifetime上免费获得,其目的是为了检测线性潜在增长曲线模型中指定的变化方差。
Researchers planning a longitudinal study typically search, more or less informally, a multivariate space of possible study designs that include dimensions such as the hypothesized true variance in change, indicator reliability, the number and spacing of measurement occasions, total study time, and sample size. The main search goal is to select a research design that best addresses the guiding questions and hypotheses of the planned study while heeding applicable external conditions and constraints, including time, money, feasibility, and ethical considerations. Because longitudinal study selection ultimately requires optimization under constraints, it is amenable to the general operating principles of optimization in computer-aided design. Based on power equivalence theory (MacCallum et al.,; von Oertzen,), we propose a computational framework to promote more systematic searches within the study design space. Starting with an initial design, the proposed framework generates a set of alternative models with equal statistical power to detect hypothesized effects, and delineates trade-off relations among relevant parameters, such as total study time and the number of measurement occasions. We present LIFESPAN (Longitudinal Interactive Front End Study Planner), which implements this framework. LIFESPAN boosts the efficiency, breadth, and precision of the search for optimal longitudinal designs. Its initial version, which is freely available at http://www.brandmaier.de/lifespan, is geared toward the power to detect variance in change as specified in a linear latent growth curve model.
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