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…

Although there exists an extensive amount of research on subscores and their properties, limited research has been conducted on categorical subscores and their interpretations. In this paper, we focus on the claim of Feinberg and von Davier that categorical subscores are useful for remediation and instructional purposes. We investigate this claim…

Educators rely on a conglomeration of assessment instruments to appraise, measure, monitor, and document evidence of students' academic readiness, learning progressions, acquisition of interdisciplinary knowledge, and extensive educational needs. The Mississippi Academic Assessment Program for Mathematics (MAAP-M) and the i-Ready Assessment…

Purpose: The lack of appropriate assessments affects populations presumed to be most at risk for speech and language concerns, one of them being children with a history of preterm birth. This study aims to examine whether cultural bias is present in two currently available language tests for Black children under 3 years of age: the Communication…

The use of the aggregate scoring method for scoring concordance tests requires the weighting of test items to be derived from the performance of a group of experts who take the test under the same conditions as the examinees. However, the average score of experts constituting the reference panel remains a critical issue in the use of these tests.…

Technical documentation for educational tests focuses primarily on properties of individual scores at single points in time. Reliability, standard errors of measurement, item parameter estimates, fit statistics, and linking constants are standard technical features that external stakeholders use to evaluate items and individual scale scores.…

In recent years, the application of explainability techniques to automated essay scoring and automated short-answer grading (ASAG) models, particularly those based on transformer architectures, has gained significant attention. However, the reliability and consistency of these techniques remain underexplored. This study systematically investigates…

This study was carried out to develop a test to assess algorithmic thinking skills. To this end, the twelve steps suggested by Downing (2006) were adopted. Throughout the test development, 24 middle school sixth-grade students and eight experts in different areas took part as needed in the tasks on the project. The test was given to 252 students…

Universities administer assessments for accountability and program improvement. Student effort is low during assessments due to minimal perceived consequences. The effects of low effort are compounded by assessment context. This project investigates validity concerns caused by minimal effort and exacerbated by contextual factors. Systematic…

The National Assessment of Educational Progress (NAEP) has tested the civic, or citizenship knowledge of students across the nation at irregular intervals since its very inception. Despite advancements in reading and mathematics, evidenced by results from the National Assessment of Educational Progress (NAEP), civics proficiency has remained…

The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…

In today's digital age, tests are increasingly being delivered on computers. Many of these computer-based tests (CBTs) have been adapted from paper-based tests (PBTs). However, this change in mode of test administration has the potential to introduce construct-irrelevant variance, affecting the validity of score interpretations. Because of this,…

The present work assessed a quizzing method that combines the benefits of retrieval practice and feedback, whereby learners must continue taking quizzes until they achieve a perfect score with feedback provided (i.e., "mastery quizzing"). Across four experiments (n = 952; age 18-76, M = 37.10, SD = 11.61; 50% female, 48% male, 2% other…

Educators commonly use school climate survey scores to inform and evaluate interventions for equitably improving learning and reducing educational disparities. Unfortunately, validity evidence to support these (and other) score uses often falls short. In response, Whitehouse et al. proposed a collaborative, two-part validity testing framework for…

This study introduces a novel differential item functioning (DIF) method based on propensity score matching that tackles two challenges in analyzing performance assessment data, that is, continuous task scores and lack of a reliable internal variable as a proxy for ability or aptitude. The proposed DIF method consists of two main stages. First,…