This study proposed Gibbs sampling algorithms for variable selection in a latent regression model under a unidimensional two-parameter logistic item response theory model. Three types of shrinkage priors were employed to obtain shrinkage estimates: double-exponential (i.e., Laplace), horseshoe, and horseshoe+ priors. These shrinkage priors were…

Principals face unexpected crises, big and small, regularly. Yet, as the COVID-19 pandemic illustrated, they aren't always prepared for them when they come. Mario Jackson describes some of the challenges principals faced during the pandemic and the specific attributes that helped them manage. Specifically, equity-oriented leadership, crisis…

Though a substantial amount of research exists on imputing missing scores in educational assessments, there is little research on cases where responses or scores to an item are missing for all test takers. In this paper, we tackled the problem of imputing missing scores for tests for which the responses to an item are missing for all test takers.…

Existing processes for academic peer review can yield unnecessarily harsh critiques that focus on any vulnerability rather than constructive feedback to improve the work. Efforts to improve the peer-review process recommend training at the graduate level. This article describes the Modified Critical Response Process (MCRP) as a means to achieve…

Recent work reveals a left digit effect in number line estimation such that adults' and children's estimates for three-digit numbers with different hundreds-place digits but nearly identical magnitudes are systematically different (e.g., 398 is placed too far to the left of 401 on a 0-1000 line, despite their almost indistinguishable magnitudes;…

Personalized learning, which has the potential to raise student achievement, requires understanding the competencies of students. Visualizations can help provide this understanding. Jeon et al. (2021) presented a latent space model that creates interaction maps visualizing response patterns from item response data. My dissertation proposes…

Upon identifying a problem of practice centering on students and staff alike focusing on points and grades instead of learning, a small team of teachers were assembled to participate in a cycle of inquiry. The purpose of this cycle of inquiry was to research and test the effectiveness of an intervention related to assessment. The team selected a…

This study was conducted to further research into the impact of student-group item parameter drift (SIPD) --referred to as subpopulation item parameter drift in previous research-- on ability estimates and proficiency classification accuracy when occurring in the discrimination parameter of a 2-PL item response theory (IRT) model. Using Monte…

Despite emerging use of review replying function in online course eWOM, little attention has been paid to its role. The lack of theoretical researches and contradictory views have caused great inconsistencies in practice. The research designed two studies to explore the impact of review replying. Based on real data crawled, study 1 explored the…

Readiness for change is an important factor in successful implementation and scale-up of a new practice or program in schools. The process of assessing and developing readiness for change is a key feature of the Exploration Stage, which is the first of four implementation stages identified by the Active Implementation Research Network. Data-based…

Valid data are essential for making correct theoretical and practical implications. Hence, efficient methods for detecting and excluding data with dubious validity are highly valuable in any field of science. This paper introduces the idea of applying autocorrelation analysis on self-report questionnaires with single-choice numbered, preferably…

Engagement with songs through performance and analysis is a key component of music curricula worldwide. Music learning has a significant impact on a number of student competencies, including enhancing students' communicative abilities as they learn to manipulate, express, and share sound in both voice qualities and lyrics. However, common analyses…

In this digital ITEMS module, Dr. Stella Kim provides an overview of multidimensional item response theory (MIRT) equating. Traditional unidimensional item response theory (IRT) equating methods impose the sometimes untenable restriction on data that only a single ability is assessed. This module discusses potential sources of multidimensionality…

In American schools, teachers seldom have time to see each other teach resulting in missed opportunities to learn and grow from one another. Participants engaged in peer observation and feedback in order to determine the effectiveness of this professional development structure on practitioner growth, teacher efficacy, and overall teacher…

Recent publications emphasize the need to take greater account of differences in teaching quality between subjects. The empirical analysis of this topic requires a comparison of teaching quality in different subjects to distinguish generic aspects of teaching quality from subject-specific ones. In this paper, we compare teaching quality in…