Diagnostic tests are typically administered in a multiple-choice (MC) format due to their advantages of objectivity and time efficiency. The MC-deterministic input, noisy "and" gate (DINA) family of models, a representative class of cognitive diagnostic models for MC items, efficiently and parsimoniously estimates the mastery profiles of…

This article reviews the administrative, scoring, and psychometric properties of the Wechsler Individual Achievement Test, Fourth Edition (WIAT-4, NCS Pearson, 2020). The WIAT-4 is one of the more commonly administered broadband measures of academic achievement. The instrument was determined to be well-conceptualized, and generally…

Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge…

The core of the educational system is students' academic performance, which demands sensitive measures. In this situation, teacher-made tests (TMTs) are more promising, but they can be susceptible to measurement error if not well designed. Hence, this study aimed to investigate the relationship between the properties of TMTs and students' academic…

In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…

Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

In this investigation, we used real data to assess potential differential effects associated with taking a test in a test center (TC) versus testing at home using remote proctoring (RP). We used a pseudo-equivalent groups (PEG) approach to examine group equivalence at the item level and the total score level. If our assumption holds that the PEG…

Assessment instruments that generate quantitative data on attributes (cognitive, affective, behavioral, "etc.") of participants are commonly used in the chemistry education community to draw conclusions in research studies or inform practice. Recently, articles and editorials have stressed the importance of providing evidence for the…

Many physical education teacher education (PETE) programs have adopted FITNESSGRAM® as the preferred method to assess teacher candidate fitness levels. The rationale, however, is unclear. This article presents fitness testing results of PETE candidates using FITNESSGRAM® with the aim to evaluate its appropriateness. 86 PETE students participated…

The Measures for Early Success Initiative aims to reimagine the landscape of early learning assessments for the millions of 3- to 5-year-olds enrolled in Pre-K, so that more equitable data can be applied to meaningfully support and strengthen early learning experiences for all young children. This document outlines design parameters for child…

While many standardized assessment measures exist to track child mental health treatment outcomes, the degree to which such tools have been adequately tested for reliability and validity across race, ethnicity, and class is uneven. This paper examines the corpus of published tests of psychometric properties for the ten standardized measures used…

This study is a systematic review designed to identify the instruments most frequently used to evaluate children's development, describe their operational and psychometric characteristics and determine which are the most accurate. We carried out a systematic search of the online databases PsycINFO and PubMed Central using the descriptors…

This is the first study to investigate the effects of test methods (while-listening performance and post-listening performance) and gender on measured listening ability and brain activation under test conditions. Functional near-infrared spectroscopy (fNIRS) was used to examine three brain regions associated with listening comprehension: the…

This paper reports an approximate replication of Matsuda and Gobel (2004) for the psychometric validation of the Foreign Language Reading Anxiety Scale (FLRAS). Their study examined the structural aspects of the FLRAS developed by Saito, Horwitz, and Garza (1999). The results showed that the FLRAS measured three different subcomponents of foreign…

Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…