Repetition and Spacing Effects on True and False Recognition in the DRM Paradigm

Dubuisson, J.-B., Fiori, N. & Nicolas, S. (2012) Repetition and spacing effects on true and false recognition in the DRM paradigm. Scandinavian Journal of Psychology 53, 382-389. With the Deese-Roediger-McDermott (DRM) paradigm, the repetition effect on false memory had never been clarified. More importantly, the spacing effect on false memory was never directly investigated. So, we carried out two experiments to examine these effects on true and false recognition. In experiment 1, participants studied DRM lists which were presented one, three or five times. In experiment 2, we manipulated the repetition mode (massed vs. spaced with a short interval or a long interval) to explore the spacing effect. The results showed that true recognition increased monotonically with list repetition (experiment 1) and repetition spacing (experiment 2). The most striking finding was a similar spacing effect but no repetition effect on false recognition. Thus, these results were principally discussed in the light of the activation-monitoring framework.     

Do positive illusions predict overconfidence in judgment? A test using interval production and probability evaluation measures of miscalibration

We address the question as to whether judgmental overconfidence, as assessed by probability miscalibration, is related to positive illusions about the self. We first demonstrate that judgmental overconfidence measured with interval production procedures can be considered a trait, due to correlations observed in miscalibration scores in two sets of general‐knowledge questions of varying difficulty administered at different times. In addition, the hard‐easy effect operated in different ways on overprecision and self‐placement of one's performance relative to others: The more difficult the calibration task, the greater the over precision but the greater the under placement of one's performance. Finally, there was no evidence that miscalibration was related to dispositional optimism and self‐efficacy. A second study extended these results by including further measures of disposition to experience positive illusions such as unrealistic optimism, a general tendency to consider oneself “better‐than‐average,” and two indexes of dispositional perception of control. The positive illusion measures showed considerable inter‐correlations, but did not correlate with miscalibration on the interval production task, and correlated negatively with optimism concerning societal risks. A final study replicated this pattern of findings, but showed that disposition to positive illusions did predict miscalibration on the same questions measured with a probability evaluation technique. Our research demonstrates that “overconfidence” is not a unitary construct, but a series of overlapping ones. Copyright © 2010 John Wiley & Sons, Ltd.     

关系推理中信念偏差效应的研究

采用结论评估范式,考察时向和空间关系推理中信念偏差效应的表现形式,以及心理模型理论对关系推理中信念偏差效应的解释力。研究结果表明,关系推理中信念偏差效应的表现形式与三段论有所不同,不论是时间推理还是空间推理中都存在信念主效应,但没有发现信念与逻辑的交互作用;心理模型理论不能对关系推理中信念偏差效应作出合理解释。     

熟练维-汉双语者第二语言的概念表征的特征

以母语为维吾尔语,第二语言为汉语的的维吾尔族大学生为被试,使用语言内和语言间启动条件下的真假字判断任务,通过3个实验探讨了熟练的维汉双语者的第二语言的语义表征的特点,即他们的第二语言的语义表征是共同存储的还是独立存储的。结果发现,实验1语言内启动条件下,即启动刺激（维语）和目标刺激（维语）之间具有语义联想关系时,产生了显著的启动效应。实验2（启动刺激为维语,目标刺激为汉语）和实验3（启动刺激为汉语,目标刺激为维语）的跨语言启动条件下,都产生了显著的启动效应,说明被试的第二语言的语义表征是共同存储的。这些结果表明：被试的第二语言的概念表征是同第一语言的概念表征共同存储的,支持了共同存储理论。     

Identifying Variables Responsible for Data not Missing at Random

When data are not missing at random (NMAR), maximum likelihood (ML) procedure will not generate consistent parameter estimates unless the missing data mechanism is correctly modeled. Understanding NMAR mechanism in a data set would allow one to better use the ML methodology. A survey or questionnaire may contain many items; certain items may be responsible for NMAR values in other items. The paper develops statistical procedures to identify the responsible items. By comparing ML estimates (MLE), statistics are developed to test whether the MLEs are changed when excluding items. The items that cause a significant change of the MLEs are responsible for the NMAR mechanism. Normal distribution is used for obtaining the MLEs; a sandwich-type covariance matrix is used to account for distribution violations. The class of nonnormal distributions within which the procedure is valid is provided. Both saturated and structural models are considered. Effect sizes are also defined and studied. The results indicate that more missing data in a sample does not necessarily imply more significant test statistics due to smaller effect sizes. Knowing the true population means and covariances or the parameter values in structural equation models may not make things easier either. The research was supported by NSF grant DMS04-37167, the James McKeen Cattell Fund.     

中国大学生的记忆的自我参照效应

记忆的自我参照效应是指记忆材料与自我相联系时的记忆效果优于其它编码条件的现象,这种优势主要体现在以回忆经验为特征的R反应(“记得”)上。西方一些研究表明,自我参照的记忆成绩优于参照母亲的记忆。本研究以中国大学生为被试,得到参照父亲和母亲的记忆与自我参照有同样好的成绩,显著优于参照名人的记忆,并且父母之间无差异。这支持了独立型／依赖型自我概念模型中的东方文化下的自我概念包括父母的观点。     

关于成本沉没效应的实验研究

运用IAT 技术,通过实验,证明“损失厌恶”具有内隐性,“损失厌恶”存在内隐偏差,并且二者具有很强的稳定性,即不受当前情绪及刺激材料性质等的影响,为进一步认识成本沉没效应等现象的本质特点提供了证据。     

Does representational momentum reflect a distortion of the length or the endpoint of a trajectory?

Observers viewed a moving target, and after the target vanished, indicated either the initial position or the final position of the target. In Experiment 1, an auditory tone cued observers to indicate either the initial position or the final position; in Experiment 2, different groups of observers indicated the initial position or the final position. Judgments of the initial position were displaced backward in the direction opposite to motion, and judgments of the final position were displaced forward in the direction of motion. The data suggest that the remembered trajectory is longer than the actual trajectory, and the displacement pattern is not consistent with the hypothesis that representational momentum results from a distortion of memory for the location of a trajectory.     

On normal theory based inference for multilevel models with distributional violations

Data in social and behavioral sciences are often hierarchically organized though seldom normal, yet normal theory based inference procedures are routinely used for analyzing multilevel models. Based on this observation, simple adjustments to normal theory based results are proposed to minimize the consequences of violating normality assumptions. For characterizing the distribution of parameter estimates, sandwich-type covariance matrices are derived. Standard errors based on these covariance matrices remain consistent under distributional violations. Implications of various covariance estimators are also discussed. For evaluating the quality of a multilevel model, a rescaled statistic is given for both the hierarchical linear model and the hierarchical structural equation model. The rescaled statistic, improving the likelihood ratio statistic by estimating one extra parameter, approaches the same mean as its reference distribution. A simulation study with a 2-level factor model implies that the rescaled statistic is preferable.This research was supported by grants DA01070 and DA00017 from the National Institute on Drug Abuse and a University of North Texas faculty research grant. We would like to thank the Associate Editor and two reviewers for suggestions that helped to improve the paper.     

Independent race of colour and word can predict the Stroop effect

Mainstream theories of the Stroop effect suggest that faster colour classification on congruent trials (say, the word RED printed in red colour) relative to incongruent trials (GREEN in red) is due to channel interaction. Namely, information from the irrelevant word channel perturbs processing of the print colour, causing in turn slower processing of incongruent displays. In this note, I advance a new model in which colour and word are processed in parallel and completely independent channels. The Stroop effect is then the outcome of signal redundancy in congruent displays, where both colour and word contribute to the same response. Numerical computations show that the model can produce the Stroop effect (along with high accuracy rates) for a subset of parameter values. Thus, it provides a proof of existence for a separate channel theory, and a challenge to many existing theories.