Iwp Institute, FOM University of Applied Sciences, Zeltnerstr. 19, 90443, Nürnberg, Germany.
Behav Res Methods. 2018 Aug;50(4):1749-1761. doi: 10.3758/s13428-017-0949-8.
Observation Oriented Modeling was proposed to overcome some of the problems in the application of statistical inference methods in the behavioral sciences. In this paper, we refine one part of this approach and show how it is connected to methods that are well known in statistical learning. Specifically, we argue that the Moore-Penrose pseudo inverse is superior to the initial solution from a statistical point of view. With this we also show that Observation Oriented Modeling can indeed be appropriate for some tasks in the analysis of observed data. To provide a practical example, we demonstrate the revised method by analyzing the effect of mindfulness training on attentional processes.
观察导向建模被提出来克服在行为科学中应用统计推断方法的一些问题。在本文中，我们改进了该方法的一部分，并展示了它与统计学习中众所周知的方法的联系。具体来说，我们认为从统计学的角度来看，Moore-Penrose 伪逆优于初始解。通过这一点，我们还表明，观察导向建模确实可以适用于观察数据分析中的某些任务。为了提供一个实际的例子，我们通过分析正念训练对注意过程的影响来展示修正后的方法。
