Masking procedures can influence priming effects besides their effects on conscious perception

Masked priming has been employed to study the role of consciousness for different levels of visual processing. However, masking procedures differ systematically between studies. To examine these procedural differences we contrasted priming effects with metacontrast masking, which is often applied in the context of perceptual priming, and priming effects with sandwich pattern masking, frequently used in studies on semantic priming. Results indicate that the amount of masking neither affects perceptual nor semantic priming effects in a semantic categorization task when a metacontrast masking paradigm was used. However, perceptual and semantic priming effects increased with increasing prime visibility when a sandwich pattern masking paradigm was used. Findings suggest that different types of masking procedures affect the processing of the masked stimuli in substantially different ways even if the masking effect on conscious perception of these stimuli is comparable.     

Electrophysiological and phenomenological effects of short-term immersion in an altered sensory environment

We examined the spontaneous cerebral electrophysiology and phenomenology during short-term perceptual deprivation consisting of an edgeless visual field combined with monotonous auditory input that eliminated potential grounding cues (multimodal Ganzfeld). Subjects (N = 22) were instructed to self-report perceptual fading using a button press. Relaxed wakefulness with closed eyes and viewing of a time-varying stimulus array served as control conditions. The power of parieto-occipital alpha rhythms during perceptual deprivation was midway between the eyes-closed and eyes-open conditions, with a state-specific frequency acceleration. Oscillatory alpha power remained enhanced in the multimodal Ganzfeld relative to viewing time-varying signals, despite no indication of diminished brain arousal. Subjects experienced a range of perceptual phenomena while in the altered sensory environment and individuals with faster alpha oscillations self-reported a greater number of fading episodes. We suggest that alpha-band electroencephalogram (EEG) dynamics signal internally oriented mentation in response to brief perceptual deprivation.     

小学二年级学生的字形预视效应

字形信息在汉语阅读中具有重要作用。小学二年级是儿童阅读流畅性发展的重要时期,而对注视点右侧字词的预加工及所获得的预视效应是影响流畅阅读的重要因素。本研究考察了字形信息在二年级学生预加工中的作用。实验1采用副中央凹启动范式发现,在词汇识别任务中,二年级学生在100ms副中央凹启动时间下,表现出字形预视效应。实验2采用边界范式发现,在句子默读任务中,二年级学生能够获取副中央凹处的字形信息。结果表明,二年级学生在阅读中能够使用副中央凹处的字形信息,促进随后中央凹处的词汇加工。     

创造力测评中的评分者效应

创造力测评中的评分者效应(rater effects)是指在创造性测评过程中, 由于评分者参与而对测评结果造成的影响.评分者效应本质上源于评分者内在认知加工的不同, 具体体现在其评分结果的差异.本文首先概述了评分者认知的相关研究, 以及评分者,创作者,社会文化因素对测评的影响.其次在评分结果层面梳理了评分者一致性信度的指标及其局限, 以及测验概化理论和多面Rasch模型在量化,控制该效应中的应用.最后基于当前研究仍存在的问题, 指出了未来可能的研究方向, 包括深化评分者认知研究,整合不同层面评分者效应的研究, 以及拓展创造力测评方法和技术等.     

暴力视频游戏对个体亲社会性的影响：一项元分析

暴力视频游戏是一种新兴的娱乐媒介, 是指含有描绘个体试图对其他个体造成伤害等内容的视频游戏。亲社会性是人类区别于动物的重要特征, 包括在人际交往中个体所表现出的利他、助人等一切使他人受益的认知、情感和行为。本文采用元分析的方法整合国内外已有研究, 分析暴力视频游戏对玩家亲社会性影响的主效应, 并重点考察各调节变量在暴力视频游戏与亲社会性的关系中产生的作用。通过文献检索, 纳入符合要求的文献24篇, 包含63个效应值(effect size), 总样本量18554人。研究结果显示：暴力视频游戏与亲社会性总效应值显著, 但相关较弱(r = -0.10)。调节效应分析表明, 暴力视频游戏与亲社会性的关系受到被试性别、被试类型、被试年龄、测量类型与亲社会性测量指标的调节。未来研究可以进一步采用一般攻击模型与一般学习模型等理论模型指导暴力视频游戏对亲社会行为影响研究, 同时优化实证研究中测量亲社会性的实验范式, 并且需要重点考察个体差异对暴力视频游戏与亲社会性关系的影响。     

A Monte Carlo method for comparing generalized estimating equations to conventional statistical techniques for discounting data

Discounting is the process by which outcomes lose value. Much of discounting research has focused on differences in the degree of discounting across various groups. This research has relied heavily on conventional null hypothesis significance tests that are familiar to psychologists, such as t‐tests and ANOVAs. As discounting research questions have become more complex by simultaneously focusing on within‐subject and between‐group differences, conventional statistical testing is often not appropriate for the obtained data. Generalized estimating equations (GEE) are one type of mixed‐effects model that are designed to handle autocorrelated data, such as within‐subject repeated‐measures data, and are therefore more appropriate for discounting data. To determine if GEE provides similar results as conventional statistical tests, we compared the techniques across 2,000 simulated data sets. The data sets were created using a Monte Carlo method based on an existing data set. Across the simulated data sets, the GEE and the conventional statistical tests generally provided similar patterns of results. As the GEE and more conventional statistical tests provide the same pattern of result, we suggest researchers use the GEE because it was designed to handle data that has the structure that is typical of discounting data.     

Applying mixed‐effects modeling to single‐subject designs: An introduction

Behavior analysis and statistical inference have shared a conflicted relationship for over fifty years. However, a significant portion of this conflict is directed toward statistical tests (e.g., t‐tests, ANOVA) that aggregate group and/or temporal variability into means and standard deviations and as a result remove much of the data important to behavior analysts. Mixed‐effects modeling, a more recently developed statistical test, addresses many of the limitations of more basic tests by incorporating random effects. Random effects quantify individual subject variability without eliminating it from the model, hence producing a model that can predict both group and individual behavior. We present the results of a generalized linear mixed‐effects model applied to single‐subject data taken from Ackerlund Brandt, Dozier, Juanico, Laudont, & Mick, 2015, in which children chose from one of three reinforcers for completing a task. Results of the mixed‐effects modeling are consistent with visual analyses and importantly provide a statistical framework to predict individual behavior without requiring aggregation. We conclude by discussing the implications of these results and provide recommendations for further integration of mixed‐effects models in the analyses of single‐subject designs.     

Trifactor Models for Multiple-Ratings Data

In this study we extend and assess the trifactor model for multiple-ratings data in which two different raters give independent scores for the same responses (e.g., in the GRE essay or to subset of PISA constructed-responses). The trifactor model was extended to incorporate a cross-classified data structure (e.g., items and raters) instead of a strictly hierarchical structure. we present a set of simulations to reflect the incompleteness and imbalance in real-world assessments. The effects of the rate of missingness in the data and of ignoring differences among raters are investigated using two sets of simulations. The use of the trifactor model is also illustrated with empirical data analysis using a well-known international large-scale assessment.     

What you are confident of determines your choices in context: Confidence in yourself versus in your ability

The notion that consumers' preference is constructed by decision context is well established. Two of such salient manifestations are compromise effect and attraction effect. Although literature has explored the moderators of these effects from the perspective of a decision maker, little is known about whether a significant difference exists between the effects of individual differences as a situational state and as a stable personality. This article approaches this question by examining how specific self‐confidence and general self‐confidence shape consumer's preference for context options. Four studies find that compromise effect is greater for consumer with high specific self‐confidence, whereas attraction effect is greater for consumer with low specific self‐confidence. The two context effects are greater for consumers with low general self‐confidence only in the presence of social influence. In addition, low (vs. high) general self‐confidence strengthens (vs. weakens) the impact of specific self‐confidence on context effects under this condition. This article concludes by discussing the theoretical and practical implications of the findings.     

On undesirable consequences of thinking: framing effects as a function of substantive processing

Three studies investigate the impact of effortful constructive processing on framing effects. The results replicated previous findings: Participants avoided the risky option when the scenario was framed in terms of gains, but preferred this option when the scenario was framed in terms of losses. Importantly, framing effects were most pronounced when conditions allowed for an effortful constructive processing style (i.e., substantive processing). This impact of decision frames varied when decision time served as an indicator for the elaboration extent (Study 1), and also when processing motivation (accountability; Study 2) and processing ability (decision time; Study 3) were manipulated. Moreover, effortful processing did not increase framing effects when contextual cues reduced the necessity for constructive thinking (Study 1). We suggest that decision frames may take on very different roles as a function of the ambiguity of the decision problem, and the degree and style of processing. Copyright © 2006 John Wiley & Sons, Ltd.