Signal Detection Theory

信号检测理论
  • 文章类型: Journal Article
    This paper provides a comprehensive review of the Type B effect (TBE), a phenomenon reflected in the observation that discrimination sensitivity varies with the order of stimuli in comparative judgment tasks, such as the two-alternative forced-choice (2AFC) paradigm. Specifically, when the difference threshold is lower (higher) with the constant standard preceding rather than following the variable comparison, one speaks of a negative (positive) TBE. Importantly, prominent psychophysical difference models such as signal detection theory (Green & Swets, 1966) cannot easily account for the TBE, and are hence challenged by it. The present meta-analysis provides substantial evidence for the TBE across various stimulus attributes, suggesting that the TBE is a general feature of discrimination experiments when standard and comparison are presented successively. Thus, inconsistent with psychophysical difference models, subjective differences between stimuli are not merely a function of their physical differences but rather also depend on their temporal order. From the literature, we identify four classes of potential candidate theories explaining the origin of the TBE, namely (1) differential weighting of the stimulus magnitudes at the two positions (e.g., Hellström, Psychological Research, 39, 345-388 1977), (2) internal reference formation (e.g., Dyjas, Bausenhart, & Ulrich, Attention, Perception, & Psychophysics, 74, 1819-1841 2012), (3) Bayesian updating (e.g., de Jong, Akyürek, & van Rijn, Psychonomic Bulletin and Review, 28, 1183-1190 2021), and (4) biased threshold estimation (García-Pérez & Alcalá-Quintana, Attention, Perception & Psychophysics, 72, 1155-1178 2010). As these models, to some extent, make differential predictions about the direction of the TBE, investigating the respective boundary conditions of positive and negative TBEs might be a valuable perspective for diagnostic future research.
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  • 文章类型: Meta-Analysis
    目的:嘈杂的思想或感知是精神病(PSY)的特征,它们与来源监测(SM)密切相关-区分内部/外部经验起源的能力。
    方法:这个穆斯,符合PRISMA的荟萃分析将PSY中的SM表现与健康对照(HC)进行比较,重点是信噪比,以便:i)测试神经成像程序(fMRI/EEG)是否可能是一组特定的SM噪声源;ii)比较基于误差和准确性的指标;iii)对信号检测措施进行荟萃分析(即歧视指数和反应偏差);iv)确定捕捉精神病中SM缺陷的最佳指数。我们对每个目标进行了3级荟萃分析,以估计合并效应大小(Cohen'sd)。SM类型,来源判别和刺激模式被用作元回归变量。异质性(I2),考虑了发表偏倚(Egger检验)和多重比较(Bonferroni校正)。
    结果:16个神经影像学检查,包括44项基于错误/准确性的行为试验和7项信号检测试验(2297PSY,年龄范围=18.78-52.6;1745HC,年龄范围=21.1-53.3)。神经成像程序产生的噪声轻微影响误差,但不是准确性。基于精度(d=-0.83),但不是基于错误的,与HC相比,PSY指数显示出显著且较大的SM损伤。PSY和HC之间的总体SM性能差异在辨别指数(d=-0.65)和准确性(d=-0.61)上较大,其次是响应偏差(d=-0.59,ns)和基于误差的指数(d=0.35)。
    结论:尽管准确性和区分度指标将PSY患者与HC患者区分开来,辨别指数更可靠,并且可以更好地捕获内部/外部源混淆的双向性质。
    Noisy thoughts or perceptions are characteristics of psychosis (PSY) and, they are deeply related to source monitoring (SM) - the ability to discriminate the origin of internal/external experiences.
    This MOOSE, PRISMA-compliant meta-analysis compared SM performances in PSY compared to healthy controls (HC) focusing on signal-to-noise discrimination in order to: i) test whether neuroimaging procedures (fMRI/EEG) might be a group-specific source of noise for SM; ii) compare error- and accuracy-based indexes; iii) to meta-analyze signal-detection measures (i.e., discrimination index and response bias); iv) to determine the best index capturing SM deficits in psychosis. We conducted a 3-level meta-analysis for each aim to estimate pooled effect-sizes (Cohen\'s d). SM type, source discrimination and stimulus modality were used as meta-regressors. Heterogeneity (I2), publication bias (Egger\'s test) and multiple comparisons (Bonferroni correction) were considered.
    Sixteen neuroimaging, 44 error/accuracy-based behavioral and 7 signal-detection trials were included (2297 PSY, age range = 18.78-52.6; 1745 HC, age range = 21.1-53.3). The noise generated by neuroimaging procedures slightly influenced error, but not accuracy. Accuracy-based (d = -0.83), but not error-based, indexes showed significant and large SM impairments in PSY compared to HC. Overall SM performance differences between PSY and HC were larger in discrimination index (d = -0.65) and accuracy (d = -0.61), followed by response bias (d = -0.59, ns) and error-based (d = 0.35) indexes.
    Although both accuracy and discrimination indexes differentiate patients with PSY from HC, discrimination index is more reliable and may better capture the bi-directional nature of the internal/external source confusion.
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