An ordinal evaluation of categorical judgement data by random utilities and a corresponding correlation analysis

Categorical judgement data are analyzed along the lines of random utility theory. A class of orders is introduced (categorical weak orders); their characteristic vectors are regarded as points in a Euclidean space; their convex hull forms a polytope whose facets are fully characterized. This polytope is shown to correspond to an order polytope. Furthermore, its relation to the biorder polytope is pointed out. The convex representations of a given point of the polytope are discussed. The impact of these results on the methods of analyzing data arising from a categorical judgement procedure is outlined. In particular, some consequences are drawn with respect to the usual evaluation of correlations of such data.     

Curriculum, Critical Common-Sensism, Scholasticism, and the Growth of Democratic Character

My paper concentrates on Peirce’s late essay, “Issues of Pragmaticism,” which identifies “critical common-sensism” and Scotistic realism as the two primary products of pragmaticism. I argue that the doctrines of Peirce’s critical common-sensism provide a host of commendable curricular objectives for democratic Bildung. The second half of my paper explores Peirce’s Scotistic realism. I argue that Peirce eventually returned to Aristotelian intuitions that led him to a more robust realism. I focus on the development of signs from the vague and indeterminate to the determinate and universal. The primary example will be the evolution of the very idea of number. I believe we will never arrive at the end of number history because we can never fully contain creativity. I draw similar conclusions for the idea of curriculum. Whether or not there is an end to the evolution of signs in Peirce is a matter of debate. I incline toward the opinion there is not, though I am unsure. I conclude by arguing that rationality itself is but the form and structure of poetic creation and that we should embrace paradox and even contradiction rather that become caught in totalizing and totalitarian end of history stories.     

Acceptance and commitment therapy: model, processes and outcomes

The present article presents and reviews the model of psychopathology and treatment underlying Acceptance and Commitment Therapy (ACT). ACT is unusual in that it is linked to a comprehensive active basic research program on the nature of human language and cognition (Relational Frame Theory), echoing back to an earlier era of behavior therapy in which clinical treatments were consciously based on basic behavioral principles. The evidence from correlational, component, process of change, and outcome comparisons relevant to the model are broadly supportive, but the literature is not mature and many questions have not yet been examined. What evidence is available suggests that ACT works through different processes than active treatment comparisons, including traditional Cognitive-Behavior Therapy (CBT). There are not enough well-controlled studies to conclude that ACT is generally more effective than other active treatments across the range of problems examined, but so far the data are promising.     

Fungible Correlation Matrices: A Method for Generating Nonsingular,Singular, and Improper Correlation Matrices for Monte Carlo Research

For a fixed set of standardized regression coefficients and a fixed coefficient of determination (R-squared), an infinite number of predictor correlation matrices will satisfy the implied quadratic form. I call such matrices fungible correlation matrices. In this article, I describe an algorithm for generating positive definite (PD), positive semidefinite (PSD), or indefinite (ID) fungible correlation matrices that have a random or fixed smallest eigenvalue. The underlying equations of this algorithm are reviewed from both algebraic and geometric perspectives. Two simulation studies illustrate that fungible correlation matrices can be profitably used in Monte Carlo research. The first study uses PD fungible correlation matrices to compare penalized regression algorithms. The second study uses ID fungible correlation matrices to compare matrix-smoothing algorithms. R code for generating fungible correlation matrices is presented in the supplemental materials.     

Dysfunctional Attitudes Lead to Depressive Symptoms by Generating Subjective Stress

Previous studies have indicated that objective stress—negative events that have actually occurred outside of individuals—is involved in processes of dysfunctional attitudes leading to depression. Subjective stress—individuals' perception of negative events that have not actually occurred outside of them—is also predicted to be involved in these processes. However, few studies have empirically investigated this prediction. The primary purpose of this study was to fill this gap by testing the hypothesis that dysfunctional attitudes lead to depression by generating subjective stress. A longitudinal design was employed and initial depression was controlled. The results supported the hypothesis. It was also found that initial depression fostered subsequent depression by generating subjective stress. This study contributes to the literature on depression mechanisms by elucidating that subjective stress plays an important role in the development and exacerbation of depression. This study also has important clinical implications as it suggests that preventing subjective stress in individuals with dysfunctional attitudes or depression helps to protect the development or exacerbation of their depression.     

The evolutionary psychology of small‐scale versus large‐scale politics: Ancestral conditions did not include large‐scale politics

The current research question sought to examine political psychology as it relates to evolutionary mismatch. The basic hypothesis is that people will be more cognitively prepared to think about political situations that are relatively small in scale compared with political situations that are large in scale. This research also examined the effects of whether the political situation is highly relevant to oneself. To test these questions, 49 young adults were presented with four sets of instructions. They were asked to write paragraphs describing (i) a large‐scale, self‐relevant political situation, (ii) a large‐scale non‐self‐relevant political situation, (iii) a small‐scale self‐relevant political situation, and (iv) a small‐scale non‐self‐relevant political situation. Paragraphs generated by the participants were analyzed using Tyler's ( 2013 ) Writing Sample Readability Analyzer. Results demonstrated that paragraphs designed for large‐scale political situations had more sentences and were less readable than paragraphs designed for small‐scale situations—while paragraphs designed for small‐scale political situations were relatively readable and included more words per sentence, suggesting that, consistent with the core hypothesis, participants had an easier time processing information related to small‐scale political situations than large‐scale political situations. Implications for the nature of modern politics are discussed.     

What cognitive and numerical skills best define learning disabilities in mathematics? / ¿Qué habilidades cognitivas y numéricas definen mejor las dificultades de aprendizaje en matemáticas?

Differentiating students with mathematical learning disabilities (MLD) from those with low achievement (LA) is still an unresolved issue. This study explored whether the specific combination of certain cognitive and numerical skills can classify students with MLD, with LA, and without MLD. In order to do this, an analysis was carried out of the performance of 756 Spanish students in grades two to six, on different numerical and cognitive tasks. Two factors were extracted using a principal component analysis of the tasks: a semantic-cognitive factor and a verbal-automation factor. The results obtained from comparing the groups showed that students with MLD and LA demonstrated significant differences in the semantic-cognitive factor, and that these differences were consistent across grade levels. In contrast, there were no differences between groups in the automatic-verbal factor. These results confirm that the groups are not only quantitatively different but also qualitatively different.     

Number concepts for the concept empiricist

Dove (2009) and Machery (2007) both argue that recent findings about the nature of numerical representation present problems for Concept Empiricism (CE). I shall argue that, whilst this evidence does challenge certain versions of CE, such as Prinz (2002), it needn’t be seen as problematic to the general CE approach. Recent research can arguably be seen to support a CE account of number concepts. Neurological and behavioral evidence suggests that systems involved in the perception of numerical properties are also implicated in numerical cognition. Furthermore, the discovery of associations between spatial and numerical representations also lends independent support to a CE approach. Although these findings support CE in general, certain versions of the theory may need revising in order to accommodate them. In particular, it may be necessary to either jettison Prinz's (2002) Modal Specificity Hypothesis or to revise one’s method for individuating modal representational formats.     

构成理论关于推论与记叙文篇章理解的研究

构成理论认为,读者在阅读记叙文篇章时,试图构成一个有意义的情景参照模式以表达读者的目标、篇章连贯性以及解释文中为何提到所描述的行为、事件及情景,其中推论生成是一个重要环节。而推论可分为十三类,有六类属线上生成,五类属脱线生成,有两类难以确定．需考虑语用因素,其中有些推论因读者目标不同而有特殊性。构成理论还认为,除了局部推论和整体推论外,其它推论都与读者的世界知识有关。该者目标满足,局部与整体连贯实现,以及外显信息解释决定着对记叙文篇章的理解。     

恒河猴数相加能力的初步研究

本实验训练恒河猴对两组其和不超过8的刺激实体(卡片上的黑色圆点)进行相加,再与第三组刺激实体进行数多少的比较判断。实验共有9个训练程序,课题逐次由易到难,刺激的数目也由少到多。有一只恒河猴达到了全部9个程序的训练标准。证明恒河猴的确具有学会把两个数进行相加的能力。这种相加不可能是数数的结果,极可能是在知觉上将它们融合或接合在一起。