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…

This report presents a summary of the vast array of activities that comprised the 2023-2024 accreditation year for all Commission approved educator preparation programs. Currently, there are 252 Commission approved program sponsors offering 933 different and active educator preparation programs and many of those are offered through various…

It is widely recognised that feedback is an important part of learning: effective feedback should result in a meaningful change in student behaviour (Morris et al., 2021). However, individual feedback takes time to produce, and for large cohorts -- typified by the North of 300 challenge in computing (CPHC, 2019), it can be difficult to do so in a…

Using a bibliographic approach that employs a systematic literature review, this paper analyzes the state of the field for assessing transformative learning (TL). Assessing TL has always been challenging. Using the field of international education (IE) as a case study, this article leverages findings from the assessment of TL in IE to illustrate…

The article describes practical suggestions for measurement researchers and psychometricians to respond to calls for social responsibility in assessment. The underlying assumption is that personalizing large-scale assessment improves the chances that assessment and the use of test scores will contribute to equity in education. This article…

This article provides a comprehensive analysis of the evaluation of the arts within performance-based research funding systems (PRFSs). Previous literature on PRFSs has overlooked the arts and focussed primarily on outputs in relation to the sciences and humanities. We develop a typology of how artistic outputs are evaluated within 10 countries'…