A growing body of evidence suggests that pubertal timing (i.e., onset compared to same-aged, same-sexed peers) is one important predictor of subsequent adjustment behaviors. There is substantial disagreement, however, regarding the optimal way to measure pubertal timing, namely: how many times it should be assessed, when it should be measured, what instrument should be considered, and which analytic strategy should be used. These differences (also known as ‘researcher degrees of freedom’) could lead to drastically different operationalizations of pubertal timing, which in turn, can lead to notably different conclusions about pubertal timing’s short- and long-term effects on behavior. The goal of this registered report is to leverage and combine multiple large, publicly available secondary datasets to determine the degree to which different operationalizations affect the robustness of associations between pubertal timing and depressive symptoms. Results from this multiverse analysis will suggest the impact that differences in operationalizations of pubertal timing have on its associations with outcomes, as well as provide a roadmap for future researchers using puberty data.