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…

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…

Many emotion regulation assessments have been developed for research purposes, but few are frequently used in schools despite the rapid growth of social and emotional learning programs with an explicit focus on emotion regulation in schools. This systematic review provides an overview of emotion regulation assessments that have been utilized with…

Classroom assessment and large-scale assessment have, for the most part, existed in mutual isolation. Some experts have felt this is for the best and others have been concerned that the schism limits the potential contribution of both forms of assessment. Margaret Heritage has long been a champion of best practices in classroom assessment. Neal…

Game-based assessments will most likely be an increasing part of testing programs in future generations because they provide promising possibilities for more valid and reliable measurement of students' skills as compared to the traditional methods of assessment like paper-and-pencil tests or performance-based assessments. The current status of…

Single-timepoint educational measurement practices are capable of assessing student ability at the time of testing but are not designed to be informative of student capacity for developing in any particular academic domain, despite commonly being used in such a manner. For this reason, such measurement practice systematically underestimates the…

These guidelines describe considerations relevant to the assessment of test takers in or across countries or regions that are linguistically or culturally diverse. The guidelines were developed by a committee of experts to help inform test developers, psychometricians, test users, and test administrators about fairness issues in support of the…

The multiple-choice question (MCQ) is the foundation of knowledge assessment in K-12, higher education, and standardized entrance exams (including the GRE, MCAT, and DAT). However, standard MCQ exams are limited with respect to the types of questions that can be asked when there are only five choices. MCQs offering additional choices more…

Any examination that involves moderate to high stakes implications for examinees should be psychometrically sound and legally defensible. Currently, there are two broad and competing families of test theories that are used to score examination data. The majority of instructors outside the high-stakes testing arena rely on classical test theory…

This paper describes the process for creating and validating an assessment test that measures the effectiveness of instruction by probing how well that instruction causes students in a class to think like experts about specific areas of science. The design principles and process are laid out and it is shown how these align with professional…

Though calibration of an achievement test within psychological and educational context is very often carried out by the Rasch model, data sampling is hardly designed according to statistical foundations. However, Kubinger, Rasch, and Yanagida (2009) recently suggested an approach for the determination of sample size according to a given Type I and…

Humphry (this issue) has written a thought-provoking piece on the interpretation of item discrimination parameters as scale units in item response theory. One of the key features of his work is the description of an item response theory (IRT) model that he calls the logistic measurement function that combines aspects of two traditions in IRT that…

Social skill excesses and deficits have garnered considerable attention from researchers and clinicians over the last three decades. This trend is undoubtedly due to the central role these problems play in psychopathology and the general adjustment of children of all ages. Not surprisingly, these concerns and attention to such problems have also…