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…

Objective: The aim of the present systematic review was to consolidate findings related to emotion recognition accuracy among individuals with attention deficit hyperactivity disorder (ADHD). The review also examined emotion recognition accuracy assessment methods as well as the contribution of gender to emotional recognition accuracy. Method: A…

School leadership research literature has a large number of widely used constructs. Could fewer constructs bring more clarity? This study evaluates construct content validity, defined as the extent to which a measure's items reflect a theoretical content domain, in school leadership literature. To do so, we reviewed 29 articles that used Teaching…

Adaptive Comparative Judgment (ACJ), an approach to the assessment of open-ended problems which utilizes a series of comparisons to produce a standardized score, rank order, and a variety of other statistical measures, has demonstrated high levels of reliability and validity and the potential for application in a wide variety of areas. Further,…

In cognitive neurosciences, fundamental principles of mental processes and functional brain organization have been established with highly controlled tasks and testing environments. Recent technical advances allowed the investigation of these functions and their brain mechanisms in naturalistic settings. The diversity in those approaches have been…

This article discusses considerations and methodologies for leadership educators to assess leadership development in groups and organizations using groups as the unit of analysis rather than aggregating individual scores.