We demonstrate how to analyze complete multivariate generalizability theory (GT) designs within structural equation modeling frameworks that encompass both individual subscale scores and composites formed from those scores. Results from numerous analyses of observed scores obtained from respondents who completed the recently updated form of the…

Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…

This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine interpretation and data analysis can be used to deliver advising services anytime, anywhere. This system would eliminate the need for students to physically meet with advisors and could answer their…

We illustrate how to analyze complete generalizability theory (GT) designs using structural equation modeling software ("lavaan" in R), compare results to those obtained from numerous ANOVA-based packages, and apply those results in practical ways using data obtained from a large sample of respondents, who completed the Self-Perception…

This article introduces generalizability theory (G-theory) to institutional research and assessment practitioners, and explains how it can be utilized to evaluate the reliability of assessment procedures in order to improve student learning outcomes. The fundamental concepts associated with G-theory are briefly discussed, followed by a discussion…

Educational reform priorities such as emphasis on quantitative modelling (QM) have positioned undergraduate biology instructors as designers of QM experiences to engage students in authentic science practices that support the development of data-driven and evidence-based reasoning. Yet, little is known about how biology instructors adapt to the…

The study of gender identity is becoming increasingly important to the field of higher education as younger generations of students enter their undergraduate programs. "As the number of college students identifying as transgender," gender nonconforming, or another gender identity, increases, "so too does the need to understand their…

This paper aims to unsettle assumptions of generalizability and representativeness in quantitative research using queer framings and positionalities. We argue that generalizability and representativeness are tools of supremacist dominance that reinforce harmful and essentialist categories of identities for the false purpose of statistical…

The costs of an objective structured clinical examination (OSCE) are of concern to health profession educators globally. As OSCEs are usually designed under generalizability theory (G-theory) framework, this article proposes a machine-learning-based approach to optimize the costs, while maintaining the minimum required generalizability…

With the present study I investigated the sources of score variance and dependability in a local oral English proficiency test for potential international teaching assistants (ITAs) across four first language (L1) groups, and suggested alternative test designs. Using generalizability theory, I examined the relative importance of L1s (i.e., Indian,…

Advancing teacher candidates' overall competence through use of valid teacher observation systems should be an essential element of teacher preparation. Yet, the field of special education has not provided observation protocols designed specifically for preservice teachers that are founded in theoretical perspectives and research on effective…

The purpose of this study was to examine the reliability and sources of score variation from a performance assessment of practice competencies within an occupational therapy program. Data from 99 students who participated in a practical exam were examined. A generalizability analysis of analytic, total, and overall holistic scores was completed…

e-Learning acceptance has received considerable attention in the educational technology literature. In recent years, many frameworks have been proposed, modified, and applied to better understand the factors underlying students' acceptance of e-learning. Despite the important progress made with the acceptance literature, extant empirical…

Human Anatomy and Physiology (HAP) has long been recognized as a difficult course. A 2007 study (Michael J. "Adv Physiol Educ" 31: 34-40, 2007) sought to better understand this difficulty by asking faculty for their perceptions of why students struggle to learn in HAP. Later research built on these findings by investigating why students…

In this paper the authors examine the uses of teaching performance assessments (TPAs) as resources for learning, program evaluation, and improvement in teacher education. The authors begin by outlining their conceptual framing and related research questions about the uses of TPAs as resources for program evaluation and improvement. They describe…