合体字与复合词中联结编码和项目编码的关系

本研究通过考察合体字和复合词加工过程中联结记忆和项目记忆的变化,探究了在将不同项目绑定为整体的过程中联结编码和项目编码间的关系,并结合脑电技术比较了合体字和复合词的加工过程在神经机制上的差异。行为结果显示:与不能组成字或词的编码条件相比,合体字和复合词编码条件下的联结记忆成绩有显著提升,且项目记忆成绩没有下降;与复合词编码相比,合体字编码条件下的联结记忆和项目记忆成绩都显著更好。脑电结果显示:复合词编码时晚期负成分(LNC)主要位于额区且发生较早,而合体字编码时的LNC主要位于枕区且发生更晚;合体字编码比复合词编码在α/β频段的神经振荡去同步化更强。这些结果表明,将不同项目绑定为整体的操作可以强化大脑对联结信息的加工,同时不会损害对项目的加工,支持了“只有收益”的观点。本研究也从实证的角度为汉语学习材料的编排提供了参考。     

Depression as a mediator of negative cognitive style and hopelessness in stress generation

Over the past 20 years, there has been considerable interest in the role of cognitive factors in the stress generation process. Generally, these studies find that depressed individuals, or individuals at cognitive risk for depression, are more likely to experience stressful life events that are in part influenced by their own characteristics and behaviours (i.e., negative dependent events). However, there is still much to be learnt about the mediators of these effects. For example, does the development of depression symptoms explain why individuals at cognitive risk for depression experience increased negative dependent events? Or, is it that increases in cognitive risk explain why depressed individuals experience increased negative dependent events? To explore these questions, a short‐term prospective study was conducted with 209 college students who were given measures of depression, depressogenic risk factors (i.e., negative cognitive style and hopelessness), and negative dependent events at two time points 6 weeks apart. Support was found for three models: (1) depression symptoms mediated the relationship between negative cognitive style and negative dependent events; (2) depression symptoms mediated the relationship between hopelessness and negative dependent events; and (3) first hopelessness and then depression symptoms mediated the relationship between negative cognitive style and negative dependent events in a multiple‐step model. In contrast, the reverse models were not confirmed, suggesting specificity in the direction of the mediational sequence.     

International Semiotics: Item Difficulty and the Complexity of Science Item Illustrations in the PISA-2009 International Test Comparison

We examined multimodality (the representation of information in multiple semiotic modes) in the context of international test comparisons. Using Program of International Student Assessment (PISA)-2009 data, we examined the correlation of the difficulty of science items and the complexity of their illustrations. We observed statistically significant mean correlation coefficient differences favoring higher-ranking over lower-ranking jurisdictions and non-Western over Western jurisdictions. We examined this correlation as a function of the variety of forms of representation of information used in illustrations. For the highest-ranking jurisdictions, the correlation tended to be positive and its magnitude tended to increase with the number of forms of representation. For the lowest-ranking jurisdictions, the correlation tended to be negative and its magnitude tended to increase with the number of forms of representation. Increased illustration complexity appears to be an affordance in making sense of science items for students from the highest-ranking jurisdictions and a challenge for students from the lowest-ranking jurisdictions. Our findings support the notion that integrating information provided in multiple semiotic modes is critical to science achievement and underscore the importance for science standards and international assessment frameworks to address this skill as intrinsic to (rather than an aspect of) science proficiency.     

Concurrent cognitive processes in rat serial pattern learning: II. Discrimination learning,rule learning,chunk length,and multiple‐item memories

The current experiment examined the factors that determine acquisition for elements of highly structured serial patterns. Three groups of rats were trained on three patterns with parallel rule‐based hierarchical structure, but with 3‐, 4‐, or 5‐element chunks, each with a final violation element. Once rats mastered their patterns, probe patterns were introduced to answer several questions. To assess the extent to which the learned response pattern depended on intrachamber location cues for anticipating different element types, Spatial Shift Probes shifted the starting lever of patterns to locations that positioned chunk boundaries where they had never been experienced during training. To assess the extent to which a phrasing cue is necessary for rats to perform a chunk‐boundary response, a Cue Removal Probe tested whether rats would produce a chunk‐boundary response in the correct serial position if the phrasing cue was omitted. To assess the extent to which cues from multiple trials leading up to the violation element are required to anticipate the violation element, Multiple‐Item Memory Probes required rats to make an unexpected response on one of the elements in the last two chunks of the pattern prior to the violation element. The results indicated that rats used multiple concurrent learning and memory processes to master serial patterns, including discrimination learning, rule learning, encoding of chunk length, and multiple‐item memories.     

Consistent Differential Discrimination Model Estimation

A novel factor-analytic model—the differential discrimination model—for assessing individual differences in scale use has been recently introduced, together with a three-stage estimation approach for model fitting. Unfortunately, the second-stage estimator and, as a consequence, the third-stage estimator of this procedure are not consistent. In this article we show that (a) the differential discrimination model can be expressed in a structural equation model framework, and (b) consistent and simultaneous estimation of all model parameters can be achieved using standard SEM software.     

Limited‐information goodness‐of‐fit testing of diagnostic classification item response models

Despite the growing popularity of diagnostic classification models (e.g., Rupp et al., 2010, Diagnostic measurement: theory, methods, and applications, Guilford Press, New York, NY) in educational and psychological measurement, methods for testing their absolute goodness of fit to real data remain relatively underdeveloped. For tests of reasonable length and for realistic sample size, full‐information test statistics such as Pearson's X² and the likelihood ratio statistic G² suffer from sparseness in the underlying contingency table from which they are computed. Recently, limited‐information fit statistics such as Maydeu‐Olivares and Joe's (2006, Psychometrika, 71, 713) M₂ have been found to be quite useful in testing the overall goodness of fit of item response theory models. In this study, we applied Maydeu‐Olivares and Joe's (2006, Psychometrika, 71, 713) M₂ statistic to diagnostic classification models. Through a series of simulation studies, we found that M₂ is well calibrated across a wide range of diagnostic model structures and was sensitive to certain misspecifications of the item model (e.g., fitting disjunctive models to data generated according to a conjunctive model), errors in the Q‐matrix (adding or omitting paths, omitting a latent variable), and violations of local item independence due to unmodelled testlet effects. On the other hand, M₂ was largely insensitive to misspecifications in the distribution of higher‐order latent dimensions and to the specification of an extraneous attribute. To complement the analyses of the overall model goodness of fit using M₂, we investigated the utility of the Chen and Thissen (1997, J. Educ. Behav. Stat., 22, 265) local dependence statistic $X_{\mathrm{LD}}^2$ for characterizing sources of misfit, an important aspect of model appraisal often overlooked in favour of overall statements. The $X_{\mathrm{LD}}^2$ statistic was found to be slightly conservative (with Type I error rates consistently below the nominal level) but still useful in pinpointing the sources of misfit. Patterns of local dependence arising due to specific model misspecifications are illustrated. Finally, we used the M₂ and $X_{\mathrm{LD}}^2$ statistics to evaluate a diagnostic model fit to data from the Trends in Mathematics and Science Study, drawing upon analyses previously conducted by Lee et al., (2011, IJT, 11, 144).     

An unusual presentation of probable dementia: Rhyming,associations, and verbal disinhibition

We report a case of probable Alzheimer's disease who presented with the unusual feature of disinhibited rhyming. Core language skills were largely intact but generative language was characterized by semantic‐based associations, evident in tangential and associative content, and phonology‐based associations, evident in rhyming, in the context of prominent executive dysfunction. We suggest this pattern is underpinned by a failure to terminate or inhibit verbal associations resulting in a ‘loosening’ of associations at the level of conceptual preparation for spoken language.