TY - JOUR
T1 - Embedding the psychosocial biographies of Olympic medalists in a (meta-)theoretical model of dynamic networks
AU - Den Hartigh, Ruud J.R.
AU - Van Yperen, Nico W.
AU - Van Geert, Paul L.C.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - TALENT DEVELOPMENT
KW - CREATIVITY
KW - NETWORK DYNAMICS
KW - SPORTS
U2 - 10.1016/bs.pbr.2016.11.007
DO - 10.1016/bs.pbr.2016.11.007
M3 - Article
SN - 0079-6123
VL - 232
SP - 137
EP - 140
JO - Progress in brain research
JF - Progress in brain research
ER -