Den Hartigh Ruud J R, Van Yperen Nico W, Van Geert Paul L C
University of Groningen, Groningen, The Netherlands.
University of Groningen, Groningen, The Netherlands.
Prog Brain Res. 2017;232:137-140. doi: 10.1016/bs.pbr.2016.11.007. Epub 2017 Feb 2.
Based on in-depth interviews, Hardy et al. focused on the role of psychosocial factors in the development of elite and super-elite athletes. They reveal interesting differences and commonalities in the frequencies at which certain aspects related to life events, personality, contextual factors, etc. were reported. Here, we argue that insights in the development of (super-)elite athletes will advance if we go beyond explanations in the frequency-domain, and search for process explanations in the time-domain. This means that we should investigate how athletes develop from one time point to the next, and the next, etc., thereby examining how (psychosocial) factors change and combine across time, as well as how the timing of events can shape an athlete's further developmental trajectory. We therefore present a process-oriented dynamic network model of talent development, assuming that (super-)elite performance develops out of structures of dynamically interacting (psychosocial) factors, which we illustrate using the outcomes of Hardy et al.
基于深入访谈，哈迪等人关注心理社会因素在精英和超级精英运动员发展中的作用。他们揭示了在与生活事件、个性、情境因素等相关的某些方面被提及的频率上有趣的差异和共性。在此，我们认为，如果我们超越频域解释，在时域中寻找过程解释，那么对（超级）精英运动员发展的理解将会推进。这意味着我们应该研究运动员如何从一个时间点发展到下一个时间点，再到下一个时间点等等，从而考察（心理社会）因素如何随时间变化和组合，以及事件的时机如何塑造运动员的进一步发展轨迹。因此，我们提出了一个面向过程的人才发展动态网络模型，假设（超级）精英表现源自动态相互作用的（心理社会）因素结构，我们用哈迪等人的研究结果对此进行说明。
