Donaldson W
Psychology Department, University of New Bruswick, Fredericton, Canada.
J Exp Psychol Gen. 1992 Sep;121(3):275-7. doi: 10.1037//0096-3445.121.3.275.
Recent years have seen an expanded interest in recognition memory tasks. This resurgence of interest has also renewed concerns with measurement problems. Comparing 4 models of recognition memory, Snodgrass and Corwin (1988) found that measures of bias from the distribution-free (nonparametric) model were inadequate. However, their analysis was based on bias measures that can be shown a priori to be nonindependent of discrimination. This article traces the history of the nonparametric model and develops a better measure of bias. The consequence of developing this better measure is that the nonparametric model deserves serious consideration.
近年来,人们对识别记忆任务的兴趣有所增加。这种兴趣的复苏也重新引发了对测量问题的关注。通过比较4种识别记忆模型,斯诺德格拉斯和科温(1988)发现,无分布(非参数)模型的偏差测量是不充分的。然而,他们的分析基于的偏差测量可以先验地证明与辨别力非独立。本文追溯了非参数模型的历史,并开发了一种更好的偏差测量方法。开发这种更好的测量方法的结果是,非参数模型值得认真考虑。