When hypotheses about mental processing are tested with response times, inferences are often based on means, and occasionally on variance or skewness. Calculations on entire distributions of response times are more informative and can be conveniently carried out. Recently investigators have been updating procedures primarily based on means (such as additive factors tests) to procedures employing entire distribution functions. In one such advance, Nozawa and Townsend upgraded earlier tests ofâ€¦Â CONTINUE READING

A new goodness-of-fit metric for interval data: A more powerful test ofstochastic processes. Paper presented at the annual meeting of the Society for Mathematical Psychology, Bloomington, IN