Micheyl Christophe, Dai Huanping
Department of Psychology, University of Minnesota, 75 East River Rd., Minneapolis, MN 55455-0344, USA.
Atten Percept Psychophys. 2009 Aug;71(6):1426-33. doi: 10.3758/APP.71.6.1426.
The equal-variance Gaussian signal detection theory (SDT) decision model for the dual-pair (4IAX) change-detection paradigm has been described in earlier publications. In this research article, we consider the equal-variance Gaussian SDT model for the related 4IAX AB-versus-BA identification paradigm. The likelihood ratios, optimal decision rules, receiver-operating characteristics (ROCs), and relationships between d' and proportion correct (PC) are analyzed for two special cases: that of statistically independent observations, which typically applies in constant-stimuli experiments, and that of highly correlated observations, which typically applies in experiments where stimuli are roved widely across trials or pairs. A surprising outcome of this analysis is that, although these two situations lead to different optimal decision rules, the predicted ROCs and PC responses for these two cases are not substantially different and are either identical to or similar to those observed in the basic yes-no paradigm. Supplemental materials for this study can be downloaded from app.psychonomic-journals.org/content/supplemental.
早期出版物中已描述了用于双对（4IAX）变化检测范式的等方差高斯信号检测理论（SDT）决策模型。在本研究文章中，我们考虑用于相关4IAX AB对BA识别范式的等方差高斯SDT模型。针对两种特殊情况分析了似然比、最优决策规则、接收者操作特征（ROC）以及d'与正确比例（PC）之间的关系：一种是统计独立观察的情况，通常适用于恒定刺激实验；另一种是高度相关观察的情况，通常适用于刺激在试验或配对中广泛变化的实验。该分析的一个惊人结果是，尽管这两种情况导致不同的最优决策规则，但这两种情况下预测的ROC和PC反应并无实质性差异，并且与基本的是-否范式中观察到的结果相同或相似。本研究的补充材料可从app.psychonomic-journals.org/content/supplemental下载。
