The effect of iconicity of visual displays on statistical reasoning: evidence in favor of the null hypothesis

Knowing which properties of visual displays facilitate statistical reasoning bears practical and theoretical implications. Therefore, we studied the effect of one property of visual diplays?– iconicity (i.e., the resemblance of a visual sign to its referent)?– on Bayesian reasoning. Two main accounts of statistical reasoning predict different effect of iconicity on Bayesian reasoning. The ecological-rationality account predicts a positive iconicity effect, because more highly iconic signs resemble more individuated objects, which tap better into an evolutionary-designed frequency-coding mechanism that, in turn, facilitates Bayesian reasoning. The nested-sets account predicts a null iconicity effect, because iconicity does not affect the salience of a nested-sets structure—the factor facilitating Bayesian reasoning processed by a general reasoning mechanism. In two well-powered experiments (N = 577), we found no support for a positive iconicity effect across different iconicity levels that were manipulated in different visual displays (meta-analytical overall effect: log OR = ?0.13, 95 % CI [?0.53, 0.28]). A Bayes factor analysis provided strong evidence in favor of the null hypothesis—the null iconicity effect. Thus, these findings corroborate the nested-sets rather than the ecological-rationality account of statistical reasoning.     

Dissociative states and neural complexity

Recent findings indicate that neural mechanisms of consciousness are related to integration of distributed neural assemblies. This neural integration is particularly vulnerable to past stressful experiences that can lead to disintegration and dissociation of consciousness. These findings suggest that dissociation could be described as a level of neural disintegration reflecting a number of independent processes by means of neural complexity. In the present study measurement of dissociation, traumatic stress symptoms and neural complexity calculated using nonlinear analysis of EEG [during rest conditions], and electrodermal activity (EDA) [during rest and Stroop task] were performed in 52 university students (mean age 24.1). Neural complexity has been described using pointwise correlation dimension (PD2) calculated from EEG and EDA records. While no significant relationship was found between EEG complexity and dissociative symptoms, statistically significant relationship between EDA complexity and dissociative symptoms during rest, but not during the Stroop task, has been found. These results indicate that electrodermal complexity during rest may reflect a level of dissociative symptoms.     

Common patterns of prediction of literacy development in different alphabetic orthographies

Previous studies have shown that phoneme awareness, letter-sound knowledge, rapid automatized naming (RAN), and verbal memory span are reliable correlates of learning to read in English. However, the extent to which these different predictors have the same relative importance in different languages remains uncertain. In this article, we present the results from a 10-month longitudinal study that began just before or soon after the start of formal literacy instruction in four languages (English, Spanish, Slovak, and Czech). Longitudinal path analyses showed that phoneme awareness, letter-sound knowledge, and RAN (but not verbal memory span) measured at the onset of literacy instruction were reliable predictors, with similar relative importance, of later reading and spelling skills across the four languages. These data support the suggestion that in all alphabetic orthographies, phoneme awareness, letter-sound knowledge, and RAN may tap cognitive processes that are important for learning to read.     

Liberation Theology After the End of History: An Exchange

Book Reviewed in this article:
Daniel M. Bell, Liberation Theology After the End of History: The Refusal to Cease Suffering     

Will Bootstrap Clustering Resuscitate Repertory Grid Assessment of Cognitive Complexity? Convergence with Integrative and Dialogical Complexity Suggests It Could

This article is concerned with an introduction and examination of a new cognitive complexity index derived from repertory grid data. Our approach follows Heckmann's and Bell’s introduction of bootstrap clustering of grid data. In order to examine the validity of the new index, we reanalyze data from an older study. The reanalysis showed that the new index correlated significantly with other independent complexity indices: integrative complexity and dialogical complexity. The directions of correlations were in accordance with complexity theories that underlie the indices. These findings support the validity of the cognitive complexity index based on bootstrap clustering.