Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models…

Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to the repeated assessments, from developmental processes such as maturation or age. In this article,…

Multidimensional measuring instruments are often used in behavioral, social, educational, marketing, and biomedical research. For these scales, the paper discusses how to find the optimal score based on their components that is associated with the highest possible reliability. Within the framework of structural equation modeling, an approach to…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been characterized by ambiguity and controversy. Despite the acknowledged limitations of relying solely on the chi-square test, its careful application can…

The challenge of accurately assessing critical thinking in physics education, particularly on topics like work and energy, remains a key issue for educators. The current study aims to address this challenge by exploring students' critical thinking abilities using two-tier test data analyzed through the Rasch model. Data were collected from…

This article explores the development and evaluation of the Building Leadership Team Assessment Tool (BLT-AT), designed to measure Professional Learning Communities' (PLCs') use of effective school improvement practices. The BLT-AT is grounded in Ohio's inclusive instructional leadership model, which emphasizes the improvement of teaching and…

Traditional Chinese medicine (TCM) is an important component of China's medical system. How to educate TCM practitioners in China, therefore, has become a crucial issue. To contribute to this issue, the current research identified the competency model of TCM practitioners in China and developed an evaluation for TCM students. We combined Bloom's…

Recently, interest in test subscore reporting for diagnosis purposes has been growing rapidly. The two simulation studies here examined factors (sample size, number of subscales, correlation between subscales, and three factors affecting subscore reliability: number of items per subscale, item parameter distribution, and data generating model)…

A key question facing teacher evaluation systems is how to combine multiple measures of complex constructs into composite indicators of performance. We use data from the Measures of Effective Teaching (MET) study to investigate the measurement properties of composite indicators obtained under various conjunctive, disjunctive (or complementary),…

Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…

During the last 25 years researchers have proposed a number of conceptual frameworks to measure the various functions of instructional leadership. One of the most frequently used frameworks is the Principal Instructional Management Rating Scale (PIMRS). Despite the great number of studies employing the PIMRS, evidence for its reliability and…

Over the past 8 years, U.S. kindergarten classrooms have been impacted by policies mandating or recommending the administration of a specific kindergarten entry assessment (KEA) in the initial months of school as well as the increasing reliance on digital technology in the form of mobile apps, touchscreen devices, and online data platforms. Using…

Measurement of children's behaviors in an educational and research context is a problematic and complex area. It is also evident that adapting scales to measure children's behaviors in an educational and research context is a complex process due to several reasons. First, cultural elements constitute a considerable problem. Second, it is difficult…

The Scylla and Charybdis in this discussion of teacher evaluation are standardized achievement test data on the one hand, and classroom observational systems on the other. These are the two most common methods used to judge teachers' competency. Both have serious flaws: the former primarily with validity, the latter primarily with reliability. At…