Feature binding across different visual dimensions

The human brain represents different kinds of visual feature dimensions in different ways. For example, surface features exhibit some properties that are very different from contour features, and some feature dimensions may be represented more extensively in either the dorsal or the ventral visual stream. Given such differences, we investigated feature binding across different feature dimensions and whether some feature dimensions might be more easily bound together than others. In Experiment 1, we looked at cross-dimension bindings for all combinations of color, orientation, and shape dimensions, while at the same time controlling for feature discriminability. Rates of correct binding, illusory conjunctions, and feature errors were equivalent in all cases. There was no bias so that some feature dimensions were easier to combine than others. In Experiment 2, we manipulated the difficulty of feature discrimination for the key, target-defining feature and the report feature. Rates of binding errors increased with difficulty of the key feature, but not with that of the report feature. The accuracy of feature discrimination could be dissociated from the accuracy of binding the feature to an object. Across both experiments, the accuracy of feature binding was independent of specific feature dimensions or perceptibility. These findings are discussed in relation to both feature integration and multiple-stage accounts of visual feature integration.     

Mixed-modality psychophysical scaling: Double cross-modality matching for “difficult” continua

In mixed-modality psychophysical scaling, stimuli from different modalities are presented alternately for judgment on the same scale. The usual purpose is to produce cross-modality matching functions without actually doing cross-modality matches. This paper reports the results of two experiments that extend the method to situations in which the responses, themselves crossmodality matches on an easy-to-control continuum (duration), are used to derive matching functions for two difficult-to-control continua (here loudness and brightness). Derived cross-modality matching functions are highly similar to those obtained from magnitude estimation or category judgment responses. First- and second-order sequential dependencies also closely resemble those found in data from the methods that employ numerical response scales, with one exception. For the first time in these studies of mixed-modality scaling, current responses sometimes were found to be weakly contrasted to the values of previous stimuli of different modality from the current stimulus. The various sequential dependencies found may arise from different levels of processing, with intramodal response-stimulus contrast arising from sensory differentiation, inter- and intramodality response-response assimilation from perceptual categorization processes, and intermodality response-stimulus contrast from cognitive expectancies.     

Methylphenidate Improves Autonomic Functioning among Youth with Attention-Deficit/Hyperactivity Disorder

Research on Child and Adolescent Psychopathology - Psychostimulants are commonly prescribed medications for youth with attention-deficit/hyperactivity disorder (ADHD). Limited studies have...     

Assessing Reading Rate in the Primary Grades (1–3)

In this study we explore students' reading rates in grades 1–3. We begin with a short history of reading rate as an assessment measure in the early grades. Next, we share rate data from a recent study (N = 305) where children's contextual reading was assessed with a traditional passage-reading inventory. A comparison of our average grade-level rates with those rates reported in the DIBELS literature shows that they match closely. Finally, we introduce the concept of minimum grade-level rates, emphasizing its practical significance to teachers and researchers alike.     

The role of social support in fostering school engagement in urban schools characterised by high risk of early leaving from education and training

Tackling early leaving from education and training (ELET) is one of the main education policy targets of the European Union and many of its member states. This paper offers new insights on this issue by studying how so-called at-risk students develop their educational trajectory by embedding their attitudes towards and engagement in schooling within the various support networks they navigate. We argue that the concept of school engagement, operationalized within the broader theoretical framework of the self-system model of motivational development, is crucial for better understanding ELET. The structural equation modelling is based upon survey data from 1401 students in grade 10 and 12 of vocational tracks across 26 different urban school locations in Flanders, Belgium. The results show that parental, peer and in particular teacher support directly and indirectly strengthen students’ academic and behavioural engagement. We argue that universal and targeted support by educators can positively impact pro-school attitudes and school engagement of so-called at-risk students and may be one of the most important strategies in addressing ELET.

     

Protocols for the Investigation of Information Processing in Human Assessment of Fundamental Movement Skills

Fundamental movement skill (FMS) assessment remains an important tool in classifying individuals’ level of FMS proficiency. The collection of FMS performances for assessment and monitoring has remained unchanged over the last few decades, but new motion capture technologies offer opportunities to automate this process. To achieve this, a greater understanding of the human process of movement skill assessment is required. The authors present the rationale and protocols of a project in which they aim to investigate the visual search patterns and information extraction employed by human assessors during FMS assessment, as well as the implementation of the Kinect system for FMS capture.