This study argues that readability formulas should be used as one measure of linguistic equivalence when adapting psychometric scales from one language to another. Assuming that the psychological structure being measured was not changed, it was observed that calculated readability levels and interpretations were different for two different…

An application of Bayesian factor analysis for evaluation of scale reliability is discussed, which is developed within the framework of latent variable modeling. The method permits direct point and interval estimation of the reliability coefficient of multiple-component measuring instruments using Bayesian inference. The approach allows also point…

A Bayesian statistics-based approach is discussed that can be used for direct evaluation of the popular Cronbach's coefficient alpha as an internal consistency index for multiple-component measuring instruments, as well as for testing its identity to scale reliability. The method represents an application of confirmatory factor analysis within the…

It is meaningful to create a comprehensive score to extract information from mass continuous data when they measure the same latent concept. Therefore, this study adopts the logic of psychometrics to conduct scales on continuous data under the Rasch models. This study also explores the effect of different data discretization methods on scale…

A process is proposed to create the one-dimensional expected item characteristic curve (ICC) and test characteristic curve (TCC) for each trait in multidimensional forced-choice questionnaires based on the Rank-2PL (two-parameter logistic) item response theory models for forced-choice items with two or three statements. Some examples of ICC and…

Background: Sustained vowels are important vocal tasks that have been investigated in discriminating voice disorders using acoustic analysis. To date, no study has combined vowel acoustic measures only that evaluate major aspects of the pathological voice signals in voice disorder discrimination. Aims: To investigate the value of vowel acoustic…

Mokken Scale Analysis (MSA) is a nonparametric approach that offers exploratory tools for understanding the nature of item responses while emphasizing invariance requirements. MSA is often discussed as it relates to Rasch measurement theory, which also emphasizes invariance, but uses parametric models. Researchers who have compared and combined…

Different types of test items influence students' test anxiety, and physiological measures such as heart rate provide a means of measuring this anxiety. This study aimed to explore the connection between test anxiety and examination item formats. It centered on 20 junior university students in Western Türkiye. The research monitored students'…

This study aimed to assess the methods and outcomes of The Measurement Tool to Assess systematic Reviews (AMSTAR) 2 appraisals in overviews of reviews (overviews) of interventions in the cardiovascular field and identify factors that are associated with these outcomes. MEDLINE, Scopus, and the Cochrane Database of Systematic Reviews were searched…

I provide novel evidence on the role of imperfect information in shaping childhood obesity. Between 2003 and 2017, 24 states began requiring schools to perform Body Mass Index assessments on students. Using the 1991 to 2017 National and State Youth Risk Behavior Surveys and a stacked difference-in-differences identification strategy, I show that…

Classical item analysis (CIA) entails summarizing items based on two key attributes: item difficulty and item discrimination, defined as the proportion of examinees answering correctly and the difference in correctness between high and low scorers. Recent insights reveal a direct link between these measures and aspects of signal detection theory…

This is the second article in a series of three in this special issue on establishing a boundary object to foster network health and development. The first article laid out the theoretical rationale for an Improvement Network Health and Development Framework. This article details the efforts to develop a set of practical measures tied to this…

Identifying online users' contexts can help researchers understand their needs. However, the validity of different methods for identifying the location of online users has been underexplored. This paper proposes using multiple methods and examining their impact on different research questions to determine their validity. It then demonstrates this…

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…