Work

Toward a Differentiated Model of Athlete Performance Development (DMAPD): Preliminary version and testing based on a German sample representing six sports

Year: 2025
Type: article
Study design: Observational Study
Abstract: When is the right time to start competing? Should young athletes sample multiple sports or specialize early? Despite ongoing debate, the literature lacks efforts to build and test parsimonious models that synthesize existing knowledge, test traditional hypotheses, and explore new ones. This study addresses this gap by introducing and testing a preliminary Differentiated Model of Athlete Performance Development (DMAPD), which proposes five hypotheses linking early childhood versatility, type of sports, age at competition start, sports sampling, and competition performance achieved up to the beginning of the master athletic career stage. We analysed data from 943 German male youth athletes (t 1 : M Age = 8.03 years, SD = 0.59) across six sports (soccer, tennis, table tennis, cross-country skiing, long-distance running, road cycling), categorized into three sport types: invasion games, net games, and endurance sports, until the beginning of the mastery athletic career stage ( M final age = 20.06 years, SD = 0.69). Structural equation modeling, specifically moderated mediation analysis, was employed to test the DMAPD. Our findings indicate that for invasion and net games, early versatility predicts an earlier start in competitions, which is associated with higher later competition performance; no significant link was found between sport sampling and later performance. Conversely, in endurance sports, early versatility did not predict age at competition start, sports sampling, or later performance. Instead, later competition performance was solely predicted by the extent of sport sampling. These findings encourage further consideration of DMAPD hypotheses and align with recent calls for more differentiated, group-specific and model-based considerations in talent development research.
Language: English
Field: Psychology
Open Access status: hybrid
Estimated APC paid: $3,570
OpenAlex ID: W4410736120
FWCI: 9.874
Cites: 88
Cited by: 5
Related to: 10