Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…

Response time is an important research topic in the field of psychometrics. This dissertation tries to explore some response time properties across several item characteristics and examinee characteristics, as well as the interactions between response time and response outcomes, using data from a statewide mathematics assessment in two grades.…

The argument-based approach is the current framework for validity and validation. One of the criticisms is that understanding and applying this approach to practice are complicated and require abstract thinking. Teachers or school administrators in teaching and learning need support in their validation practice. Due to the abstract structure of…

The purpose of this article is to develop a context-bound scale on student alienation around core problems experienced by students at the university level. The confirmed dimensions of the scale shall be correlated with the dimensions of the student's ICT motive scale. The study is based on two sets of cross-sectional samples of Kashmiri university…

Background: More than two million U.S. families receive home visiting services each year, yet little is known about the content and process of home visit interventions. Home visit observations are a recommended tool to address this gap in knowledge, but guidance regarding how much observation time is needed to provide a trustworthy picture of home…

Despite substantial evidence for the link between an individual's intelligence and successful life outcomes, questions about what defines intelligence have remained the focus of heated dispute. The most common approach to understanding intelligence has been to investigate what performance on tests of intellect is and is not associated with. This…

This article is a narrative account of my search for knowledge about the nature of consciousness, and the implications of my findings for research and education. For over three decades, I accepted the dominant script presented to me through my education, both formal and informal, which assumes that the brain creates consciousness. Further, when…

Research Findings: Emotion knowledge is one facet of social and emotional learning (SEL) that emerges in early childhood. Various interventions and measures target preschoolers' emotional skills to bolster these foundational competencies prior to formal schooling. One measure of emotion knowledge specifically with preschool children is the Affect…

The use of discrete categorical formats to assess psychological traits has a long-standing tradition that is deeply embedded in item response theory models. The increasing prevalence and endorsement of computer- or web-based testing has led to greater focus on continuous response formats, which offer numerous advantages in both respondent…

Despite the increased use of social and emotional learning (SEL) programs, empirical research is hindered by lengthy assessment options, difficult to fit into educational contexts. To cover these needs, the Social Skills Improvement System SEL Brief Scales -- Student Form (SSIS SELb-S) was developed. Although it has been translated into several…

The study examined the psychometric structure of Basic Needs Satisfaction in General Scale (BNSG-S) with a sample of 495 college students. It compared the original 21-item version (Gagné, 2003) with the shortened 16-item version (Johnston & Finney, 2010), both with and without method effects. A series of confirmatory factor analyses (CFA)…

This study presents a comparative analysis of classical reliability measures, including Cronbach's alpha, test-retest, and parallel forms reliability, alongside modern psychometric methods such as the Rasch model and Mokken scaling, to evaluate the reliability of C-tests in language proficiency assessment. Utilizing data from 150 participants…

This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. We examine how grading rubrics can be iteratively refined and how threshold parameters can determine when…

Purpose: Given the importance of teacher leadership in influencing, motivating and inspiring student learning engagement and associated learning outcomes, a robust instrument to assess this construct is critical. Although there are some teacher leadership instruments available in existing literature, efforts to adapt robust psychometric…

Although research highlights the importance of analyzing the geometric work of teachers, there are few validated instruments in this line. This study presents the processes of design and validation of a forced-choice questionnaire that allows the characterization, from a theoretical basis, of how geometry teachers organize their teaching practice.…