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 instrdment-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 zach attention. The scientific evidence examined, however, suggests that interest inventories lack sex bias, and that a strategy o: seeking to improve inventory effects for everyone will be more productive than focusing on specific biases. (Author) sawant.vouomn

Similar works

Full text

oaioai:CiteSeerX.psu:10.1...Last time updated on 11/1/2017

This paper was published in CiteSeerX.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.