Imaginary latent variables are variables with negative variances and have been used to implement constraints in measurement models. This article aimed to advance this practice and rationalize the imaginary latent variables as a method to detect possible latent deficiencies in measurement models. This rationale is based on the theory of complex…

Equity is increasingly seen as a core value for higher education systems around the world. (In)equity is often measured through construction of achievement gaps, quantifying the relative outcomes of two populations of students. Institution-level gaps are embedded in the policy landscape of HE, becoming performance metrics in their own right. These…

Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with previously developed methods. In this paper we describe the PSEM framework and illustrate the quality of the method with simulation studies.…

This paper is motivated by a desire to advance assessment in the health professions through encouraging the judicious and productive use of metaphors. Through five specific examples (pixels, driving lesson/test, jury deliberations, signal processing, and assessment as a toolbox), we interrogate how metaphors are being used in assessment to…

The agreement between a wearable inertial sensor (GYKO, G) and the force platform (P) was assessed by evaluating "test-retest" and "inter-rater reliability." Thirty-eight subjects were enrolled; the selected indices of balance were investigated over foot positions and (un)stable conditions. Intraclass correlation coefficient…

Only one in every five children with autism is diagnosed before the age of 3 years. As a result, tens of thousands of children every year in the United States miss benefiting from early interventions and supports that could potentially optimize their lifetime outcomes. A major obstacle is the extremely limited access to high quality diagnosis. To…

Short-term memory (STM) challenges are often observed in children with Down syndrome (DS), but existing early STM measures introduce measurement confounds in this population. To address the need for valid early STM measures for future DS interventions, this study evaluated the psychometric properties of a modified Corsi Span task, administered to…

This paper presents the item and test information functions of the Rank two-parameter logistic models (Rank-2PLM) for items with two (pair) and three (triplet) statements in forced-choice questionnaires. The Rank-2PLM model for pairs is the MUPP-2PLM (Multi-Unidimensional Pairwise Preference) and, for triplets, is the Triplet-2PLM. Fisher's…

The measurement of resistance training (RT) is often based on adaptations of aerobic physical activity measures which may not contain the elements necessary to assess RT. The purpose of this systematic review was to examine what measures are used to assess RT and appraise their composition. Specifically, the inclusion of frequency, duration,…

Background: Measures that assess muscle strength and its development, either voluntarily or involuntarily, are important in the clinical and research context. The main aim of this study was to verify the interday reliability and the minimum detectable change (MDC) of the knee extensors muscles torque using evoked contractions and explosive…

Exploratory structural equation (ESEM) has received increased attention in the methodological literature as a promising tool for evaluating latent variable measurement models. It overcomes many of the limitations attached to exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), while capitalizing on the benefits of each. Given…

The measurement of glucose through electrochemical methods is a great example to illustrate the practical application of electrochemistry. Although many students enrolled in chemistry classes are familiar with the glucose meter, only a few have delved into the underlying principles governing its operation. This experiment aims to address this gap…

Researchers who use measurement models for evaluation purposes often select models with stringent requirements, such as Rasch models, which are parametric. Mokken Scale Analysis (MSA) offers a theory-driven nonparametric modeling approach that may be more appropriate for some measurement applications. Researchers have discussed using MSA as a…

Precisely estimating factor scores is challenging, especially when models are mis-specified. Stemming from network analysis, centrality measures offer an alternative approach to estimating the scores. Using a two-fold simulation design with varying availability of a priori theoretical knowledge, this study implemented hybrid centrality to estimate…

In clinical and forensic evaluations, clinical neuropsychologists measure performance validity using standalone and embedded measures. Given the need to capture neuropsychological functioning through a variety of cognitive tests, newer, more sensitive measures should be evaluated for their utility in comparison to already established measures.…