The limited availability of pediatric biomechanical impact response data presents a significant challenge to the development of pediatric test dummies. In the absence of this data, the development of the current generation of pediatric test dummies has been driven by scaling of the biomechanical response requirements of the existing adult test dummies. Recently-published pediatric thoracic impact response data provide a unique opportunity to evaluate the efficacy of these scaling methodologies. A reinterpretation of the published blunt impact response data corrects several non-physical features of the individual subject responses presented in the literature. These reinterpreted response data are used to develop two biomechanical response corridors, one for a three-year-old child and one for a six-year-old child, which differ from the impact response requirements of the current pediatric test dummies. Compared to the existing scaled biofidelity requirements, the three-year-old response corridor shows similar deflection but higher force, while the six-year-old response shows similar force but higher deflection. These blunt thoracic impact response corridors confirm the utility of existing response scaling methodologies, as scaling of the six-year-old response corridor is able to accurately predict the three-year-old response corridor. Additional scaling methods are evaluated using four computational models of increasing complexity, including two Lobdell-like lumped mass models and two MADYMO models. The TNO scaling method, once adjusted to prevent violation of the assumptions of dimensional analysis, allows a relatively accurate prediction of impact response in blunt thoracic impact, cardiopulmonary resuscitation (CPR), and belt loading conditions. Optimized scale factors developed for each computational model provide guidelines for scaling individual model parameters. Finally, a cross-validation process is used to develop optimized parameters for each of the four computational models of a six-yearold child that allow accurate prediction of the measured response in blunt thoracic impact, CPR, and belt loading conditions simultaneously. These optimized model parameters can be used in the design of the next generation of pediatric test dummies.