Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed well compared to other person-fit statistics. However, detection of aberrant responding has primarily focused on dominance response data, thus the…

In this ITEMS module, we introduce the generalized deterministic inputs, noisy "and" gate (G-DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G-DINA…

Suicide is a major cause of death in American youth. Suicide risk assessment is a promising suicide prevention strategy; however, little is known about school-based suicide risk assessment practices. The purpose of this study was to examine the scope of standardization, comprehensiveness, and follow-up procedures as part of the suicide risk…

The Republic of Korea is well known as a leader of gifted science education due to the significant progress it has made in the past two decades. This paper aims to provide a historical perspective of gifted science education in Korea by interviewing a key figure in the Korean science education community. This paper explores the various…

Purpose: The purpose of this study was to identify which morphological markers have the best diagnostic accuracy to identify developmental language disorders (DLD) in monolingual Spanish-speaking children. Method: The participants in this study included 50 Spanish-speaking monolingual children with (n = 25) and without (n = 25) DLD. Data…

Purpose: Computer simulation was used to estimate the statistical properties of searches for maximum word recognition ability (PB max). These involve presenting multiple lists and discarding all scores but that of the 1 list that produced the highest score. The simulations, which model limitations inherent in the precision of word recognition…

This study concerns a framework for designing Teaching-Learning Sequences that aims to integrate the implementation of scientific practices in the context of daily problems. Said framework consists of three stages (formulation of the design principles, instructional design and design of the learning activities). It is based on four design…

In the analysis of causal effects in non-experimental studies, conditioning on observable covariates is one way to try to reduce unobserved confounder bias. However, a developing literature has shown that conditioning on certain covariates may increase bias, and the mechanisms underlying this phenomenon have not been fully explored. We add to the…

Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…

Vocabulary knowledge is crucial to literacy development and academic success. Previous research has shown learning the meaning of a word requires encountering it in diverse informative contexts. In this work, we try to identify "nutritious" contexts for a word--contexts that help students build a rich mental representation of the word's…

Recent research suggests that there is a processing distinction between consonants and vowels in visual-word recognition. Here we conjointly examine the time course of consonants and vowels in processes of letter identity and letter position assignment. Event related potentials (ERPs) were recorded while participants read words and pseudowords in…

Investigating the empirical support of various assessment instruments, the evidence based assessment approach expands the scientific basis of psychotherapy. Starting from Hunsley and Mash's evaluative framework, we critically reviewed the rating scales designed to measure social anxiety or phobia in youth. Thirteen of the most researched social…

Large-scale social surveys of visually impaired people often explore participants' mobility and travel behaviour. What is methodologically more challenging is gathering participant-centred data in relation to their own interpretation of the barriers they face. Findings from a national survey of visually impaired people are presented in this…

Using hierarchical linear modeling and longitudinal data from the first 6 waves of the Early Childhood Longitudinal Study-Kindergarten cohort, the authors examined reading achievement and growth rates by learning disability (LD) subgroup. The 2-level (time-student) growth curve model indicated that lower levels of reading achievement were already…

Aim: The collection of data on longer-term neurodevelopmental outcomes within large neonatal randomized controlled trials by trained assessors can greatly increase costs and present many operational difficulties. The aim of this study was to develop a more practical alternative for identifying major cognitive delay in infants at the age of 24…