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Sarah Depaoli; Sonja D. Winter; Haiyan Liu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We extended current knowledge by examining the performance of several Bayesian model fit and comparison indices through a simulation study using the confirmatory factor analysis. Our goal was to determine whether commonly implemented Bayesian indices can detect specification errors. Specifically, we wanted to uncover any differences in detecting…
Descriptors: Structural Equation Models, Bayesian Statistics, Comparative Testing, Evaluation Utilization
Mark White; Peter A. Edelsbrunner; Christian M. Thurn – Assessment in Education: Principles, Policy & Practice, 2024
Classroom observation rubrics are a widely adopted tool for measuring the quality of teaching and provide stable conceptualisations of teaching quality that facilitate empirical research. Here, we present four statistical approaches for analysing data from classroom observations: Factor analysis, Rasch modelling, latent class or profile analysis,…
Descriptors: Teacher Effectiveness, Classroom Observation Techniques, Evaluation Methods, Scoring Rubrics
Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
Sanne Unger; Alanna Lecher – Journal of Effective Teaching in Higher Education, 2024
This action research project sought to understand how giving students a choice in how to demonstrate mastery of a reading would affect both grades and evaluations of the instructor, given that assessment choice might increase student engagement. We examined the effect of student assessment choice on grades and course evaluations, the two…
Descriptors: College Faculty, College Students, Alternative Assessment, Test Selection