On the importance of models in interpreting remember-know experiments: comments on Gardiner et al.'s (2002) meta-analysis.
On the importance of models in interpreting remember-know experiments: comments on Gardiner et al.'s (2002) meta-analysis.
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关于模型在解释记住-知道实验中的重要性：对 Gardiner 等人 (2002) 荟萃分析的评论。
DOI：
10.1080/09658210444000269
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Verde,MichaelF
中科院分区：
文献类型：
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作者：
Macmillan,NeilA;Rotello,CarenM;Verde,MichaelF
加德纳、Ramponi和Richardson-Klavehn（2002）对使用记忆-知道-猜测范式的认知实验进行了元分析，他们报告了两个发现，并将其视为该范式一维模型的证据：（1）当已知反应加入记忆反应时，记忆强度增加，当猜测反应也加入时，记忆强度降低。(2)猜测反应的准确性与新旧标准在一维范式模型中的位置相关，这意味着猜测受到决策过程的影响。我们对这两个发现都提出质疑。第一个结果是矛盾的信号检测（SDT）分析，这表明，知道和猜测的反应减少估计的记忆强度。这种差异是由A′的性质造成的，A ′是加德纳等人使用的准确性度量，我们认为这是有缺陷的第二个结果直接来自一维模型，其中精度和响应标准是固定的。因此，作者拒绝一维模型的理由并不具有说服力，但它仍然可以被拒绝，因为数据所暗示的ROC曲线与评级实验得出的ROC不一致。二维SDT模型（Rotello，Macmillan，&里德，2004）解释了这两组数据。分析说明了模型在解释记忆已知数据中的重要性。
From a meta-analysis of recognition experiments using the remember-know-guess paradigm, Gardiner, Ramponi, and Richardson-Klavehn (2002) reported two findings that they viewed as evidence against the one-dimensional model for that paradigm: (1) Memory strength increased when know responses were added to remember responses, decreasing when guess responses were also included. (2) The accuracy of guess responses was correlated with the location of the old-new criterion in the one-dimensional model for the paradigm, implying that guesses were influenced by decision processes. We question both findings. The first result is contradicted by a signal-detection (SDT) analysis, which shows that both know and guess responses reduced estimated memory strength. The discrepancy results from the properties of A′, the measure of accuracy used by Gardiner et al., which we argue is flawed. The second result follows directly from the one-dimensional model, in which accuracy and response criteria are fixed. The authors' reasons for rejecting the one-dimensional model are thus not persuasive, but it can nonetheless be rejected because ROC curves implied by the data are inconsistent with ROCs derived from ratings experiments. A two-dimensional SDT model (Rotello, Macmillan, & Reeder, 2004) accounts for both sets of data. The analysis illustrates the importance of models in interpreting remember-know data.