Sequenced neurocognitive and behavioral parent training for the treatment of ADHD in school-age children

The present study examines the potential of sequencing a neurocognitive intervention with behavioral parent training (BPT) to improve executive functions (EFs), psychiatric symptoms, and multiple indices of functional impairment in school-age children aged 7 to 11 years who have been diagnosed with attention-deficit/hyperactivity disorder (ADHD). Specifically, in a randomized controlled trial design, 85 children were assigned to either Cogmed Working Memory Training (CWMT) followed by an empirically supported, manualized BPT intervention, or to a placebo version of CWMT followed by the same BPT intervention. Working memory maintenance (i.e., attention control/short-term memory), working memory processing and manipulation, ADHD and oppositional defiant disorder (ODD) symptoms, impairment in parent–child dynamics, familial impairment, and overall functional compromise were evaluated as outcomes. The results suggest specific effects of the combined CWMT and BPT program on verbal and nonverbal working memory storage and nonverbal working memory processing and manipulation but no incremental benefits in regard to ADHD symptoms, ODD symptoms, and functional outcomes. The present findings do not support the hypothesis regarding the complementary and augmentative benefits of sequenced neurocognitive and BPT interventions for the treatment of ADHD. These results, the study’s limitations, and future directions for research are further discussed.     

Using finite mixture of GLMs to explore variability in children's flexibility in a task-switching paradigm

The present study illustrates the usefulness of finite mixture of generalized linear models (GLMs) to examine variability in cognitive strategies during childhood. More precisely, it addresses this variability in set-shifting situations where task-goal updating is endogenously driven. In a task-switching paradigm 5–6-year-olds had to switch between color- and shape-matching rules as a function of a predetermined, predictable task sequence. A finite mixture of GLMs was fitted to explore individual differences in performance. The statistical model revealed five response profiles, defined by accuracy and response times. These response profiles likely correspond to different cognitive strategies with varying efficiency and differential relations to working memory capacity (assessed by backward digit span). These results illustrate the heuristic value of statistical modeling to reveal the behavioral and cognitive variability in the temporal dynamics of children's cognitive functioning.     

Inhibitory control in number-conservation and class-inclusion tasks: A neo-Piagetian inter-task priming study

We investigated whether success in number-conservation and class-inclusion tasks relies on a general ability to inhibit misleading strategies. Two groups of 10-year-olds performed inter-task priming between computerized versions of class-inclusion and number-conservation tasks (Experiment 1). In one group, the class-inclusion task served as a prime and the number-conservation task as an assessment probe and vice versa in the other group. Response times were shorter in the number-conservation task when performed after the class-inclusion task (and vice versa in the other group) than in control prime-probe sequences in which the primes did not require the inhibition of a misleading strategy. Experiment 2 showed that these inter-task priming effects did not simply reflect that class inclusion and number conservation rely on the reversibility of concrete operations as Piaget would have hypothesized. Taken together the results are consistent with the neo-Piagetian assumption that cognitive development is rooted in both the acquisition of knowledge of incremental complexity and the ability to resist (inhibit) previous knowledge. Critically, the present finding suggests that the inhibitory ability is not domain- or strategy-specific.     

Memory systems within a cognitive architecture

This article addresses the division of memory systems in relation to an overall cognitive architecture. As understanding the architecture is essential to understanding the mind, developing computational cognitive architectures is an important enterprise in computational psychology (computational cognitive modeling). The article proposes a set of hypotheses concerning memory systems from the standpoint of a cognitive architecture, in particular, the four-way division of memory (including explicit and implicit procedural memory and explicit and implicit declarative memory). It then discusses in detail how these hypotheses may be validated through examining qualitatively the literature on memory. A quick review follows of computational simulations of a variety of quantitative data (which are not limited to narrowly conceived “memory tasks”). Results of accounting for both qualitative and quantitative data point to the promise of this approach.     

A calibration explanation of serial position effects in evaluative judgments

Judges often evaluate stimulus series on dimensions for which no physical scale exists; for example, when judging academic ability in oral examinations. We propose that judges deal with this problem by calibrating an internal judgment scale that maps stimulus input onto available judgment categories. This calibration process implies serial position effects: Judges should initially avoid extreme categories, because using extreme categories reduces judgmental degrees of freedom, thereby increasing the possibility of internal consistency violations. In four experiments, we show that judgments become indeed more extreme later in a series of judgments. Judges evaluated the same good (poor) performances more positive (negative) at the end of a sequence compared to the beginning. Judges’ expertise did not prevent the effect, but allowing end-of-sequence judgments reduced serial position effects. We discuss the implications and possible remedies of these calibration effects on judgment extremity.     

Longitudinal associations of cognitive ability,personality traits and school grades with antisocial behaviour

This study investigated the role of adolescents' cognitive ability, personality traits and school success in predicting later criminal behaviour. Cognitive ability, the five‐factor model personality traits and the school grades of a large sample of Estonian schoolboys (N = 1919) were measured between 2001 and 2005. In 2009, judicial databases were searched to identify participants who had been convicted of misdemeanours or criminal offences. Consistent with previous findings, having a judicial record was associated with lower cognitive ability, grade point average, agreeableness, and conscientiousness and higher neuroticism. In multivariate path models, however, the contributions of cognitive ability and conscientiousness were accounted for by school grades and the effect of neuroticism was also accounted for by other variables, leaving grade point average and agreeableness the only independent predictors of judicial record status. Copyright © 2011 John Wiley & Sons, Ltd.     

进化心理学对心理素质结构研究的整合与重构——以学生心理素质结构研究为例

传统的心理素质结构研究模式不经济,研究结果出现纵向断裂横向分裂的趋势.从进化心理学的视角来看,心理素质结构的最终功能均指向个体的适应性,其形成是与周围环境不断排斥和融合的过程.建构的心理素质结构融合模型能在一定程度上解决传统研究模式的弊端,并建议今后的研究应以分析人为主导转而分析人及其所处的文化环境并重,进而引导人的心理素质结构的不断发展.     

基于文化的心理复原力研究

随着对个体心理复原力研究不断深入,文化作为影响个体心理复原力的重要因素日益受到关注,研究者在厘清文化与复原力之间的关系后,尝试以积极心理学的视角,将中国传统文化中"天人合一"、"以人为本"、"自强不息"、"厚德载物"等文化精神引入到个体心理复原力发展的过程中,为个体心理复原力的研究贡献价值。     

高校多媒体教学环境下的教-学-学习绩效关系的建模与分析

本文是在先前建立的多媒体教学环境下教师授课、学生学习和学习绩效的3个因素结构模型基础上,采用路径建模技术,建立了多媒体教学环境下教一学一学习绩效关系模型。基于对该路径模型的分析,获得如下结论：（1）多媒体教学中影响因素的主导作用是沿着学习者认知加工过程中的信息流而展开的;（2）对于学生在课堂中的信息加工,影响最大的因素是教师授课时对学生的能力培养,影响为其次的因素是教师的授课技术;（3）课件的良好界面信息设计对学生的知识掌握起重要作用;（4）诸如授课速度过快、信息量过大等多媒体教学中的易现问题会增加学生的外在认知负荷而降低学习效果;（5）在多媒体教学中,教师与学生都要注意学生学习风格来更好地进行教学或学习。     

The universality of warmth and competence: A response to brands as intentional agents

Considerable effort has been devoted towards the understanding of the ways in which people interact with brands. However, little attention has been paid to the personal differences that may impact these interactions. The framework for brands as intentional agents by Kervyn, Fiske, and Malone (this issue) is the groundbreaking application of almost three decades of research on warmth and competence as predictors of interpersonal stereotypes to the realm of brands. Our paper argues that demographic differences impact interactions with brands and offer additional explanatory power to the framework. Findings support conclusions of Kervyn et al., but they also suggest the importance of age, education, and income on warmth and competence evaluations.