Fetal Alcohol Spectrum Disorder (FASD) is a significant public health concern arising from prenatal alcohol exposure. This study examines the clinical utility of Wechsler intelligence tests in assessing cognition in 108 children with confirmed prenatal alcohol exposure. Data were analysed using multidimensional scaling and Guttman's Structural…

The aim was to investigate the mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students. Participants were undergraduate students at Umm Al-Qura University. A total of 398 questionnaires were sent out, and 260 valid questionnaires were received. Descriptive statistics…

Background: Spatial ability (SA) was shown to be important for success in different fields, including STEM. Recent research suggested that SA is a unitary construct, rather than a set of related skills. However, it is not clear how individual differences in different facets of SA emerge, and how they relate to variance in general cognitive…

The goal of the present study was to extend earlier work on the estimation of person theta using maximum likelihood estimation in R by accounting for rapid guessing. This paper provides a modified R function that accommodates person thetas using the Rasch or 2PL models and implements corrections for the presence of rapid guessing or informed…

A critical limiting factor for adaptive teaching is the availability of diagnostic tools that allow reliable and valid assessments of students' domain-specific skills in a way that produces detailed information for planning subsequent instructional strategies. The present study demonstrates how Cognitive Diagnosis Models (CDM) can deliver…

In order to evaluate the effect of a policy or treatment with pre- and post-treatment outcomes, we propose an approach based on a transition model, which may be applied with multivariate outcomes and accounts for unobserved heterogeneity. This model is based on potential versions of discrete latent variables representing the individual…

Using an information-processing approach, the current innovative study examines a model for the prediction of organizational learning mechanisms (OLMs), linking school principals' cognitive complexity and OLMs through the mediating effect of an innovative climate. The model was examined for three levels of principals' cognitive complexity (high,…

Purpose: The importance of metacognitive awareness in learning, on the one hand, and the necessity of considering demographic variables, on the other hand, have encouraged the researchers to conduct this research. This research aims to initially determine the relationship between the level of metacognitive awareness and demographic variables of…

The research aimed to develop a volleyball lower passing model based on an umbrella learning approach. The method used was research and development. This study was conducted in small-scale and large-scale trials. There were performance tests, written tests, and questionnaires to determine the effectiveness of models developed against students'…

Background and Aim: In the evolving pedagogical landscape, the Outcome-Based Education (OBE) approach has garnered attention for its student-centric model and clear educational outcomes. University in Shaanxi Province recognizes the need for an integrative basketball teaching model to harmonize with this paradigm shift. This study endeavors to…

In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently…

Negative stereotypes about female intellectual abilities occur in children as young as 6-years-old and can shape a child's educational path and career choice, particularly in relation to Science, Technology, Engineering and Math (STEM). The current study (N = 40) explored preexisting gender stereotypes in a purposeful sample of 6 to 8-year-old…

The early prediction of math difficulties (MD) is important as it facilitates timely support. MD are multifaceted, and several factors are involved in their manifestation. This makes the accurate early prediction of MD particularly challenging. In the present study, we aim to predict MD in Grade 6 with kindergarten-age (age 6) measures by applying…

The aim of this study was to investigate the effects of two different physical education intervention programmes on cognitive functions (i.e. creativity, attention and impulse control) in primary education students. These dimensions were measured in 168 children (8-12 years) before and after two 8-week intervention programmes with different…

Cognitive diagnosis models (CDMs) are restricted latent class models that can be used to analyze response data from educational or psychological tests. The Deterministic Input Noisy Output "AND" gate (DINA) model and the Deterministic Input Noisy Output "OR" gate (DINO) model there are two popular cognitive diagnosis models…