Temperature-dependent development influences production rates of economically- and ecologically-important arthropod species, including crustaceans important to fisheries and agricultural pests. Numerous candidate equation types (development functions) exist to describe the effect of temperature on development time, yet most studies use only a single type of equation and there is no consensus as to which, if any model predicts development rates better than the others, nor what the consequences of selecting a potentially incorrect model equation are on predicted development times. In this study, a literature search was performed of studies fitting development functions to development of arthropod larvae (87 species). The published data of some (52) of these species were then fit with eight commonly-used development functions. Overall performance of each function type and consequences of using a function other than the best one to model data were assessed. Performance was also related to taxonomy and the range of temperatures examined. The majority (86.5 %) of studies were found to not use the best function out of those tested. Using the incorrect model lead to significantly less accurate (e.g., mean difference +/- SE 7.9 +/- 1.7 %, range: 1-18 %) predictions of development times than the best function. Overall, Heip Power, Quadratic, Belehradek, and Modified Arrhenius functions performed well, Linear Rate and Tauti Exponential were intermediate, and the Linear Sum and Briere-2 functions performed poorly. More complex functions only performed well when wide temperature ranges were tested, which tended to be confined to studies of insects or arachnids compared with those of crustaceans. Results indicate the biological significance of choosing the best-fitting model to describe temperature-dependent development time data.