MEASURING RECOGNITION MEMORY
MEASURING RECOGNITION MEMORY
复制标题
DOI：
10.1037/0096-3445.121.3.275
复制
发表时间：
1992-09-01
影响因子：
4.1
通讯作者：
DONALDSON, W
中科院分区：
文献类型：
--
作者：
DONALDSON, W
近年来，人们对再认记忆任务的兴趣不断扩大。这一兴趣的复苏也重新引起了对测量问题的关注。对比4种再认记忆模型，Serrygrass和Corwin（1988）发现，无分布（非参数）模型的偏差测量是不够的。然而，他们的分析是基于偏见衡量标准，这些衡量标准可以先验地证明与歧视无关。本文追溯了非参数模型的历史，并提出了一种更好的偏差度量方法。发展这种更好的衡量标准的结果是，非参数模型值得认真考虑。
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.