The promotion and measurement of standards in compulsory education systems has been a prominent feature of Western education systems for centuries. But the COVID-19 pandemic and the rise of artificial intelligence (AI) have made the limits of current standards-based approaches to assessment more evident. Louis Volante, Don A. Klinger, and…

Measurement is significant in geospatial thinking research. This study evaluated the geospatial thinking of pre-service geography teachers through an orienteering design tasks and subjective evaluation methods. Moreover, it analyzed their level of geospatial thinking, difficulty of evaluation indicators and rater severity with the Many-Faceted…

In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…

Although most evaluators are familiar with participatory evaluation (PE), the ability to measure stakeholder participation in an evaluation remains challenging. Based on Cousins and Whitmore's (1998) PE theoretical model, Daigneault and Jacob (2009, 2012, 2014) developed an instrument for measuring the degree to which an evaluation can be…

Extended reality (XR) -- encompassing virtual reality (VR), augmented reality (AR), and mixed reality (MR) -- emerges as a potential transformative tool in educational realms. This article explores the potential of XR in facilitating mathematics assessments; it proposes a list of mathematical topics that could be effectively mediated by XR's…

Enhancing student learning, a primary purpose of assessment, can be fostered through integrating modified program theory and implementation fidelity processes into curricular, instructional, and assessment practices. Another assessment priority, reporting student learning outcome results for accreditation which may include inadequate evidence…

Many evaluation systems feel like a series of hoops to jump through. Some require goal setting, some require elaborate data collection, and some are a little of both. Regardless of role, it often becomes a box-checking exercise and not a reflective, meaningful process that engenders growth for those engaged in it. In the small rural district of…

Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However, newcomers to both R and MMA may find using R to conduct MMA daunting. Given that, R may not be easy for those unfamiliar with coding. Likewise, MMA is a topic of advanced statistics. Thus, it may be…

Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…

Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…

We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector using the matrix logarithm function. Bayesian inference about the unbounded vector is performed assuming a multivariate-normal likelihood, with a mean…

What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…

Background: This paper presents the process taken by a nonprofit educational organization to create authentic evaluation tools for Food Education in K-12 schools. Development was a collaborative effort between organization staff and teachers during an Evaluation Summit. The program background, development of the Summit, and plans for post-Summit…

The specific learning disabilities (SLD) identification literature is replete with competing narratives concerning the advantages and disadvantages of various techniques and methods. Until a widely accepted and empirically proven SLD identification methodology is universally supported, evaluators should seek to improve the existing alternatives.…

As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…