Response styles pose great threats to psychological measurements. This research compares IRTree models and anchoring vignettes in addressing response styles and estimating the target traits. It also explores the potential of combining them at the item level and total-score level (ratios of extreme and middle responses to vignettes). Four models…

Coping Power (CP) is an empirically supported school-based intervention for children at risk for aggression. A child's social status with peers and the extent to which they accurately perceive it are important aspects of preadolescent social development that may influence how intervention format affects disruptive behavior outcomes. Further,…

Recent advancements in generative artificial intelligence for visualization offer significant opportunities to develop instructional materials. These opportunities can benefit astronomy education, which frequently relies on visual aids like representations. This document analysis study investigates ChatGPT-4o's capabilities for creating and…

Differential diagnosis of young children with suspected autism spectrum disorder (ASD) is challenging, and clinician uncertainty about a child's diagnosis may contribute to misdiagnosis and subsequent delays in access to early treatment. The current study was designed to replicate and expand a recent report in this Journal (McDonnell et al. in…

Purpose: Here, we examine the possibility that memory consolidation during a period of postpractice rest or nocturnal sleep can bolster speech motor learning in the absence of additional practice or effort. Method: Using web-administered experiments, 74 typical, American English talkers trained in a nonnative vowel contrast then had a 12-hr delay…

Dance is a multifaceted creative act that has been used to communicate emotions throughout human evolution. Despite this history, there has been no empirical exploration of components of dance that allow it to communicate emotion. We address this with a mixed methods study in which a quantitative study with dance viewers builds upon qualitative…

Measures of academic engagement and disruptive behavior in students are strong predictors of social, academic, and lifelong career outcomes. Educators need a measurement tool that is feasible, accurate, and cost-effective in order to identify students who may be in need of additional behavioral support. Direct Behavior Ratings (DBRs) offer a…

Objectives: Previous studies have widely demonstrated that inhibition of return (IOR) with audiovisual targets decreases due to audiovisual integration (AVI). It is currently unclear, however, whether the impaired AVI in children with ADHD has effects on IOR. The present study used the cue-target paradigm to explore differences between the IOR of…

The central dogma of molecular biology describes the transfer of genetic information from nucleic acids to proteins and stipulates that the system cannot work in the reverse direction. As a fundamental principle in biology, the dogma is as influential as it is controversial. Some commentators have debated the central dogma's empirical accuracy…

In every culture and era, education is considered the most fundamental reality and rule that societies prioritize and deem essential. Throughout the process spanning thousands of years, from the emergence of writing to the present day, education has undergone various forms and formats of change. Education has been a continuous guide for shaping,…

Purpose: Although the knowledge of decoding acquisition has expanded in the past years, theoretical information is still needed to guide practices concerning decoding skills in clinical and educational scenarios in languages other than English. Thus, we aimed to investigate the word-length effects on decoding acquisition regarding the time spent…

In many large-scale testing programs, examinees are frequently categorized into different performance levels. These classifications are then used to make high-stakes decisions about examinees in contexts such as in licensure, certification, and educational assessments. Numerous approaches to estimating the consistency and accuracy of this…

This dissertation examined classification outcome differences among four popular individual supervised machine learning (ISML) models (logistic regression, decision tree, support vector machine, and multilayer perceptron) when predicting minor class membership within imbalanced datasets. The study context and the theoretical population sampled…

Manual exploratory behaviors during object interaction that form the basis of tool use behavior, are mostly qualitatively characterized in terms of their frequency and duration of occurrence. To fully understand their functional and clinical significance, quantitative movement characterization is needed alongside their qualitative analysis.…

An accurate self-assessment repertoire is crucial for maintaining high standards of practice, or a scope of competence, among behavior analysts. However, procedural means to achieve this remain underexplored. Medical communities have investigated these effects and largely found that accuracy in self-assessment is poor, with an inverse relation…