This paper provides a general perspective for evaluating interest inventories and simulations and outlines some activities to stimulate the development of more useful inventories. Previous evaluations have been primarily instrument-specific; have relied generally on opinion rather than evidence; and have focused only on possible sex, age, race, or social class biases. Possible sex bias, especially, has received much attention. The scientific evidence examined, however, suggests that interest inventories lack sex bias, and that a strategy of seeking to improve inventory effects for everyone will be more productive than focusing on specific biases. (Author)