This study argues that readability formulas should be used as one measure of linguistic equivalence when adapting psychometric scales from one language to another. Assuming that the psychological structure being measured was not changed, it was observed that calculated readability levels and interpretations were different for two different…

The United Nations 2030 Agenda for Sustainable Development and, in particular, its Sustainable Development Goal no. 4, underline the relevance of quality education that translates into long-term benefits for all learners. This article reports findings of a collaborative research study that piloted an inclusive practice index to investigate…

The phenomenon of statistics anxiety, prevalent particularly among students engaged in non-mathematical disciplines such as the social sciences, has been linked to a multitude of detrimental outcomes. Over time, several instruments have been developed to measure this construct; however, a comprehensive analysis of these instruments and an adequate…

Measurement invariance (MI) is a psychometric property of an instrument indicating the degree to which scores from an instrument are comparable across groups. In recent years, there has been a marked uptick in publications using MI in intellectual and developmental disability (IDD) samples. Our goal here is to provide an overview of why MI is…

The nonparametric classification (NPC) method has been proven to be a suitable procedure for cognitive diagnostic assessments at a classroom level. However, its nonparametric nature impedes the obtention of a model likelihood, hindering the exploration of crucial psychometric aspects, such as model fit or reliability. Reporting the reliability and…

If psychometrics has long concerned itself with validity, reliability, and fairness, then what could psychometrics learn from the cybernetic theories of AI? Through engagement with Burstein's (2023) Responsible AI Standards, this paper unpacks some paradigmatic differences between psychometrics and cybernetics, points to how recursivity and…

This study aimed to review the scientific literature on etiopathogenic factors of savant syndrome associated with autism spectrum disorder (ASD). Searches were performed in the following databases: Medical Literature Analysis and Retrieval System Online, Embase, Scopus, Science Direct, Cochrane Library, Latin America and Caribbean Center on Health…

Integrative data analyses have recently been shown to be an effective tool for researchers interested in synthesizing datasets from multiple studies in order to draw statistical or substantive conclusions. The actual process of integrating the different datasets depends on the availability of some common measures or items reflecting the same…

Missingness due to not-reached items and omitted items has received much attention in the recent psychometric literature. Such missingness, if not handled properly, would lead to biased parameter estimation, as well as inaccurate inference of examinees, and further erode the validity of the test. This paper reviews some commonly used IRT based…

In this secondary analysis of a previously conducted systematic review, we analyze social validity assessments in intervention research for transition-age autistic youth. Social validity is concerned with the acceptability of the intervention goals, the acceptability and feasibility of the intervention procedures, and the perceived importance of…

Advancements in education and the perceived necessary educational outcomes require advanced psychometric approaches. This is particularly true when we consider noncognitive assessments -- assessments that aim to measure soft skills, otherwise untested in classrooms today. Noncognitive skills have gained traction in recent years due to the…

Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…

Purpose: To make early detection of individuals with autism spectrum disorder (ASD), caregiver-report instruments remain an efficient and adaptable option for the preliminary assessment. This study aimed to compare the psychometric properties of the Clancy Autism Behavior Scale (CABS) and Autism Behavior Checklist (ABC) as screening tools for ASD…

This study describes the development of the science, technology, engineering, and mathematics (STEM) Scale, intended to assess parental attitudes toward school programs designed to deliver STEM, and evaluates its psychometric properties. The study group included 400 parents of students (138 males and 262 females) enrolled in STEM programs…

Background: Positive psychology focuses on enhancing attitudes and behaviors that support well-being, with a key pillar being the use of psychological strengths for optimal functioning. This is linked to positive outcomes such as increased happiness and life satisfaction. Objective: This study aimed to evaluate the psychometric validity of the…