The purpose of this study is to introduce and evaluate a method for generating reading comprehension items using template-based automatic item generation. To begin, we describe a new model for generating reading comprehension items called the text analysis cognitive model assessing inferential skills across different reading passages. Next, the…

The purpose of this research is to determine whether PISA 2018 mathematical literacy test items show a differential item functioning across countries. For this purpose, only the items in booklet number three were examined using the MIMIC method with Latent Class Analysis (LCA) approach. PISA 2018 tests are mostly developed in English. Therefore,…

Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…

This study addresses the underexplored terrain of conceptualizing and operationalizing race and ethnicity as grouping variables in Differential Item Functioning (DIF) studies within the context of psychometric research. The investigation extends beyond the identification of DIF and delves into the theoretical framing and communication of findings…

The process of decision-making is a multifaceted cognitive endeavor encompassing various cognitive, emotional, psychological, and social processes. It empowers individuals to select from a range of alternatives. Its significance spans across age groups, impacting both adults and children, and the relevance of which goes beyond aiding learners in…

Collective cheating is a widespread phenomenon in school and academia. A large majority of students report having cheated--individually or collectively--at school. In many settings, collective cheating is part of a culture and reveals a descriptive norm. However, no measure exists, to our knowledge, that captures the presence of a collective…

Information literacy is a fundamental component in the academic development of future professionals. The aim of the study was to evaluate the metric properties of the 'questionnaire of self-perceived information competences', analyzing the factorial structure, internal consistency, convergent validity, factorial invariance according to gender and…

Sound waves are one of the important topics studied in physics. However, students' graph representation is still low, leading to their low concept understanding of physics learning. Therefore, it is necessary to optimize the learning process to improve students' graph representation by providing a valid and reliable graph representation test…

This technical report describes the entire development process for all mathematics items and tests used in CBMSkills. A brief introduction highlights the purpose of the assessment system, noting their important relationship with easyCBM. Given the items are designed to provide teachers diagnostic information on students' specific skills within…

Although Goodman-Kruskal gamma (G) is used relatively rarely it has promising potential as a coefficient of association in educational settings. Characteristics of G are studied in three sub-studies related to educational measurement settings. G appears to be unexpectedly appealing as an estimator of association between an item and a score because…

This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting…

Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…

A Monte Carlo simulation study was conducted to examine the performance of [alpha], [lambda]2, [lambda][subscript 4], [lambda][subscript 2], [omega][subscript T], GLB[subscript MRFA], and GLB[subscript Algebraic] coefficients. Population reliability, distribution shape, sample size, test length, and number of response categories were varied…

Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in educational and psychological measurement. A key component of CDMs is the Q-matrix characterizing the dependence structure between the items and the latent attributes. Additionally, researchers also assume in many applications certain…

The testlet design is very popular in educational and psychological assessments. This article proposes a new cognitive diagnosis model, the multiple-choice cognitive diagnostic testlet (MC-CDT) model for tests using testlets consisting of MC items. The MC-CDT model uses the original examinees' responses to MC items instead of dichotomously scored…