ObjectivesTo validate the application of Corrective Adjustment Procedures for removing Relative Age Effects in youth athletic contexts, this study estimated the longitudinal relationships between decimal age (chronological and relative) and performance in male and female long jumpers. Using trendlines, Corrective Adjustment Procedures were applied, and Relative Age Effect distributions associated with performance attainment were re-examined. DesignRetrospective longitudinal design examining competitive long-jump data between 2005 and 2019. MethodsIn Part I, participants were 689 junior Italian long jumpers (age range = 11.01–17.99 years; 56.6% females) who participated in ≥three events. Longitudinal modelling and regression equations quantified the sex-specific relationships between decimal age and long jump performance. In Part II, equations were utilised to adjust individual performance within an independent sample (N = 13,639; 50.1% females) of age-matched jumpers. Relative Age Effect distributions within attainment levels (i.e., Top 25–10%) were examined based on raw and correctively adjusted performance. ResultsIrrespective of sex, Relative Age Effects were prevalent across all age-groups with medium-large effect sizes at 12–17 (males and females) and 12–17 years (females) of age (Cramer's V range = 0.07–0.28). Relative Age Effect bias magnitude also increased with attainment level (i.e., Top 25–10%). Following Corrective Adjustment Procedure application, typical Relative Age Effects were removed with non-significant deviations in relative age distributions regardless of sex or age-group or attainment level (Top 25 or 10%). ConclusionsFindings provide efficacy for Corrective Adjustment Procedure application to remove Relative Age Effects across youth long jumping events. Corrective Adjustment Procedures suggest potential in improving performance evaluation, identification of technically skilled performers, and sporting experiences.