Bayesian approach is becoming increasingly important as it provides many advantages in dealing with complex data. However, there is no well-defined model selection criterion or index in a Bayesian context. To address the challenges, new indices are needed. The goal of this study is to propose new model selection indices and to investigate their…

Fitting wrongly specified models to observed data may lead to invalid inferences about the model parameters of interest. The current study investigated the performance of the posterior predictive model checking (PPMC) approach in detecting model-data misfit of the hierarchical rater model (HRM). The HRM is a rater-mediated model that incorporates…

This case study was conducted to develop a proposal comprised of best practices for institution-wide implementation of Universal Design for Learning (UDL) in higher education. The analysis of data collected from interviews with individuals from institutions endorsed by the Center for Special Technology (CAST), the founding organization of UDL,…

We used an iterative process to design the Tiered Coaching Model (TCM) to support preschool teachers' implementation of the Pyramid Model. In the TCM, teachers are matched to one of three coaching tiers based on their observed classroom practices, individual characteristics, and preferences. Coaching tiers included self-guided coaching, small…

Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…

In today's complex workplace, organizations have implemented mentoring programs to serve the needs of employees by providing career development and personal support. Mentoring relationships provide a variety of vocational, psychosocial and role modeling functions to proteges. Previous educational psychology research has examined the role of…

Although virtual reality (VR) is commonly used in science classes, for example, to enable students to do simulated human dissections and other medical procedures, research on the use of VR as a learning tool in the humanities, more specifically the literature classroom, are few. This grounded theory study sought to understand better the use of VR…

Fifth-grade students applied quantitative reasoning in exploring the flow times of three simulated lavas of different viscosities down the slope of a hand-made volcano. After modeling the lava flow times for 6 km down the volcano slope, students used their quantitative models to predict the evacuation times for villagers living 10 km down.…

A version of the classic rotationally resolved infrared (IR) spectrum of a diatomic molecule experiment has been developed using the POGIL framework to more fully engage students in the collection, modeling, analysis, and interpretation of the data. An analysis of the experimental protocol reveals that the POGIL approach actively engages students…

Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…

Performance funding has been a popular form of funding colleges and universities for several decades. Often the purpose is to make universities more efficient (Miao, 2012). Missouri has had two separate models of performance funding in play, a decade apart. In this research both performance funding models are examined, including a 10- year period…

A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well.…

Purpose: In this tutorial, we describe the initiation and implementation of a recently developed PhD Student-Mediated Mentorship Model (PS-MMM) used within our lab. In a PS-MMM, PhD students mentor graduate and undergraduate students under the direction of a faculty advisor. The model aims to address the PhD shortage by (a) teaching PhD students…

Exploratory structural equation modeling (ESEM) allows for the estimation of all cross-loadings, which leads to the number of parameters estimated substantially greater than that in conventional SEM. This study examined the sensitivity of fit measures (CFI, RMSEA, AIC, BIC, SaBIC, LRT) to measurement noninvariance in ESEM. Results suggested that…

Mentorship plays a pivotal role in the development of faculty, across areas of academic and professional achievement. Faculty mentor programs exist to support and advance faculty through a variety of models and levels. As an introduction to the special section on faculty mentorship and mentor models, the authors examine the critical importance of…