2026-10-14T10:20:13Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34025539 2026-09-29T17:23:23Z category_272 category_45 category_734 category_106 category_133 portal_5 item_type_3 month_year_09_2026

<p>Full adjusted player-year models with cluster-robust standard errors.</p> Michal Bozděch (13296415) Environmental Sciences not elsewhere classified Sociology Biological Sciences not elsewhere classified Science Policy Plant Biology xlink "> long system scenarios rather spline models showed lagged sensitivity analyses individual participation requirements female junior tennis defined annually using 57 versus 29 38 versus 17 81 %, 8 25 %, respectively higher projected efficiency median singles ppe higher subsequent ppe persistently higher ranking year models adjusted elite versus 26 point production efficiency observed linear trend fixed trp benchmarks 2004 &# 8211 total ppe defined repeated player observations total ranking points 2025 </ p year elite status total ppe year observations 97 %, point procedure performance efficiency efficiency demands doubles ppe elite status year elite linear player 510 player status interactions conditional ranking trp divided trp ), term changes temporal differentiation stage data significantly different rising performance physiological load <p>The table reports the full estimates from adjusted player-year models fitted separately for Singles PPE, Doubles PPE, and Total PPE. Dependent variables were log1p-transformed before modelling. Year was centred at 2004. Elite status was entered as a categorical predictor, with non-elite players used as the reference group. The main effect of Year therefore represents the annual change among non-elite players, whereas the Year × elite-status interaction represents the additional annual change among elite players relative to non-elite players. Models were adjusted for age, discipline-specific competitive event exposure, and COVID-disrupted years. Competitive event exposure was represented by the number of singles competitive event entries in the Singles PPE model, the number of doubles competitive event entries in the Doubles PPE model, and total competitive event exposure in the Total PPE model. COVID-disrupted years were coded as a binary covariate for the 2020 and 2021 seasons. Standard errors were cluster-robust and clustered at the player level to account for repeated player-year observations. Percent change and corresponding confidence intervals were calculated from the log-scale coefficients as 100 × [exp(b) − 1]. PPE = points per event; SE = standard error; CI = confidence interval; R² = coefficient of determination; adj. R² = adjusted coefficient of determination.</p> <p>(XLSX)</p> 2026-09-29T17:23:14Z Dataset Dataset 10.1371/journal.pone.0359538.s007 https://figshare.com/articles/dataset/_p_Full_adjusted_player-year_models_with_cluster-robust_standard_errors_p_/34025539 CC BY 4.0