Background: Number line accuracy (NL accuracy) shows improvement over the course of a school education. However, there are practically no cross-country longitudinal studies of NL accuracy over the whole course of elementary school. Aims: This study investigated the developmental trajectories of NL accuracy and its types across the elementary…

This study examined the relationships between word reading and rapid automatized naming (RAN) for objects and letters in Arabic-speaking children with and without dyslexia to determine potential modulating effects of color on naming by comparing children's performance on color and black-white RAN plates. Participants were 114 Arabic-speaking third…

The purpose of this follow-up study was to determine the specific contribution of phonological processing abilities, including phonological awareness (PA), rapid automatized naming (RAN) and verbal short-term memory (VSTM), as well as visual perception (VP), in word reading accuracy. A sample of 62 native Arabic speaking children from Grade 1…

In this study, we conducted a lexical decision test using masked priming paradigm to examine the morphological and orthographic priming effects in word recognition. Morphologically related word pairs can be derivational, sharing the same root or not (pseudo derivational). However, the orthographically related pairs share the same letters in…

Despite growing interest in the studies on Zone of Proximal Development (ZPD), its operation in the forms of individualized and group-wide has been controversial. To cast some empirical light on the issue, this study was designed to study the applicability of the two scenarios of ZPD-based instructions to the writing accuracy of two levels of…

Background: Outcomes of static tests provide an indication of what children have learned in the past, up to the moment of testing, and can therefore underestimate the cognitive abilities of atypically developing children, such as children with language difficulties. In contrast, dynamic tests aim to examine children's potential for learning. The…

This study determined the working memory (WM) components (executive, phonological short-term memory [STM], and visual-spatial sketchpad) that best predicted mathematical word problem-solving accuracy in elementary schoolchildren (N = 392). The battery of tests administered to assess mediators between WM and problem-solving included measures of…

This study sought to provide more insight into potential differences in progression of analogical reasoning comparing gifted with average-ability children taking into account age, using a dynamic testing approach, using graduated prompting techniques, in combination with microgenetic methods. The participants were between the ages of 5 and 8 years…

This study evaluated a new measure for analyzing the process of children's problem solving in a series completion task. This measure focused on a process that we entitled the "Grouping of Answer Pieces" (GAP) that was employed to provide information on problem representation and restructuring. The task was conducted using an electronic…

This study reports the neurophysiological and behavioral correlates of digital memory retrieval features in Chinese individuals with and without dyscalculia. A total of 18 children with dyscalculia (ages 11.5-13.5) and 18 controls were tested, and their event-related potentials were digitally recorded simultaneously with behavior measurement.…

The success of witness interviews in the criminal justice system depends on the accuracy of information obtained, which is a function of both amount and quality of information. Attempts to enhance witness retrieval such as mental reinstatement of context have been designed with typically developed adults in mind. In this article, the relative…

The Raven's Standard Progressive Matrices (RSPM) is a 60-item test for measuring abstract reasoning, considered a nonverbal estimate of fluid intelligence, and often included in clinical assessment batteries and research on patients with cognitive deficits. The goal was to develop and apply a predictive model approach to reduce the number of items…