Understanding differential item functioning (DIF) is critical for ensuring fairness in assessments across diverse groups. A recent study by Li et al. introduces a method to enhance the interpretability of DIF items by incorporating response process data. This approach aims to improve equity in measurement by examining how participants engage …
Integrating SDT and IRT Models for Mixed-Format Exams
Lawrence T. DeCarlo’s recent article introduces a psychological framework for mixed-format exams, combining signal detection theory (SDT) for multiple-choice items and item response theory (IRT) for open-ended items. This fusion allows for a unified model that captures the nuances of each item type while providing insights into the underlying cognitive …
Rotation Local Solutions in Multidimensional Item Response Models
Nguyen and Waller’s (2024) study provides an in-depth analysis of factor-rotation local solutions (LS) within multidimensional, two-parameter logistic (M2PL) item response models. Through an extensive Monte Carlo simulation, the research evaluates how different factors influence rotation algorithms’ performance, contributing to a deeper understanding of multidimensional psychometric models. Background The study …
Tellegen & Briggs Formula 4 Calculator at Cogn-IQ.org
The Tellegen & Briggs Formula 4 Calculator, available at Cogn-IQ.org, is a specialized tool designed to help professionals recalibrate and interpret scores from psychological assessments. It provides an efficient way to calculate the Tellegen-Briggs Index (TBI), which is particularly useful when standardization data is unavailable or limited. Background The Tellegen-Briggs …
Overclaiming: Insights from 40,000 Teens
Overclaiming, where individuals assert knowledge of concepts they do not actually understand, offers a fascinating glimpse into confidence and self-perception. In their 2023 study, Jerrim, Parker, and Shure examine this phenomenon through an analysis of PISA data from over 40,000 teenagers across nine Anglophone countries. This investigation reveals significant patterns …
Computerized Adaptive Testing: Exploring Enhanced Techniques
Anselmi, Robusto, and Cristante (2023) propose a novel approach to improving Computerized Adaptive Testing (CAT) by integrating unidimensional test batteries. This method aims to enhance both the accuracy and efficiency of ability estimation by dynamically updating prior estimates with each test response. Background Computerized Adaptive Testing has been a widely …
Assessing the Reliability of JCCES in Measuring Crystallized Cognitive Skills
The Jouve-Cerebrals Crystallized Educational Scale (JCCES) has been thoroughly evaluated for its reliability and consistency. This large-scale study, involving 1,079 examinees, utilized both Classical Test Theory (CTT) and Item Response Theory (IRT) methods to analyze the scale’s performance and internal structure. Background The JCCES was developed to measure crystallized cognitive …
Evaluating the NIH Toolbox for Cognitive Change in Intellectual Disabilities
Shields et al. (2023) examined the effectiveness of the National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) in identifying cognitive development and changes in individuals with intellectual disabilities (ID). The study focused on groups with fragile X syndrome (FXS), Down syndrome (DS), and other forms of intellectual disability (OID), offering …
Evaluating Coefficient Alpha and Alternatives in Non-Normal Data
Leifeng Xiao and Kit-Tai Hau’s article, “Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality,” examines how coefficient alpha and other reliability indices perform under varying conditions of non-normality. The study offers critical insights into how these measures behave across different data structures, providing useful recommendations …
Refining Reliability with Attenuation-Corrected Estimators
Jari Metsämuuronen’s (2022) article introduces a significant advancement in how reliability is estimated within psychological assessments. The study critiques traditional methods for their tendency to yield deflated results and proposes new attenuation-corrected estimators to address these limitations. This review examines the article’s contributions and its implications for improving measurement precision. …