The purpose of this study was to explore and identify patterns of risk predictors of maltreatment recurrence using predictive risk modeling (PRM). This study used the administrative dataset from the National Child Maltreatment Information System recorded by Korean CPS (Child Protective Service) workers. The information, including recurrent…

The aim of this paper is to present a schema that maps the terrain of intercultural assessment strategies. This schema is based upon Haraway's semiotic square and has two dimensions. The first considers how distant or near the cultural Other is understood to be -- whether they are perceived a "stranger" or a "neighbour." The…

Understanding how students decide whether to participate during collaborative learning activities and what factors are their main concerns is important for efficient use of such activities in or out of the classroom. Based on evolutionary game theory, this study proposed a game model for collaborative learning that aimed to analyze the dynamic…

The Actiotope Model of Giftedness (AMG) is one of the most promising models in the field of the nurture of the gifted. It addresses education of the gifted from a comprehensive perspective, unlike other unilateral models around the world. To the best of the researchers' knowledge, not a single study has been conducted on this model in Arab…

Several researchers studied the impact of collaboration between the learners, but few studies have been carried out on the impact of collaboration between teachers. In the previous work, the authors have studied the impact of the collaboration among the learners with a specific collaborative CEHL(K. Boussaha et al.,2015). In this work, the authors…

In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…

This article explores the importance of providing leadership development opportunities for graduate and professional students, in addition to highlighting approaches for building leadership capacity among these students. The article concludes with a snapshot of leadership development offerings for graduate and professional audiences sponsored by…

Traditional statistical model evaluation typically relies on goodness-of-fit testing and quantifying model complexity by counting parameters. Both of these practices may result in overfitting and have thereby contributed to the generalizability crisis. The information-theoretic principle of minimum description length addresses both of these…

Attending college is like embarking on a journey of self-discovery and transformation. Education as a heroic journey transforms students in such a way that it will invite them to re-examine their conceptual structures, as well as internalized cultural norms. While heroes make their way through their journey, they are often viewed as drawing upon…

This document contains a model policy for state departments of education to create a K-8 Math Act or policy. The intent of such Legislature is that each student is prepared for success in Algebra.

This paper examines the possibilities and limitations of introducing simulated experiments in the psychology domain by practicing a course with graduate students in psychology, in which simulated experiments were conducted in place of real human experiments. The class-learning object was the dual-storage model of human memory. The simulation…

We are sometimes forced to use the Interrupted Time Series (ITS) design as an identification strategy for potential policy change, such as when we only have a single treated unit and cannot obtain comparable controls. For example, with recent county- and state-wide criminal justice reform efforts, where judicial bodies have changed bail setting…

Student growth percentiles (SGPs) have become a common means to measure and report on student academic growth for state education accountability, and some states have adopted SGP cutscores as a means of classifying student growth into categories like "high/medium/low" growth. It has therefore become important to understand properties of…

Growth mixture modeling (GMM) is a methodological tool used to represent heterogeneity in longitudinal datasets through the identification of unobserved subgroups following qualitatively and quantitatively distinct trajectories in a population. These growth trajectories or functional forms are informed by the underlying developmental theory, are…

Growth mixture models (GMMs) are a popular method to identify latent classes of growth trajectories. One shortcoming of GMMs is nonconvergence, which often leads researchers to apply covariance equality constraints to simplify estimation, though this may be a dubious assumption. Alternative model specifications have been proposed to reduce…