In this study, the performance of the Lambda Coefficient of Rater-Mediated Agreement was evaluated with other chance-corrected agreement coefficients. Lambda is grounded in rater-mediated assessment theory and was developed as an alternative to Kappa (Cohen, 1960) and other chance-corrected agreement coefficients. Lambda has two variations, a…

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

Augmented Reality (AR) is a medium that gives people the ability to engage with digital information in ways that deviate from more traditional HCI methods (e.g. WIMP user interfaces (Christensson, 2014)). Previous work has shown that AR has useful implications for collaboration, and with remote work experiences and teleconferencing becoming…

Multistage adaptive testing (MST) has become popular in the testing industry because the research has shown that it combines the advantages of both linear tests and item-level computer adaptive testing (CAT). The previous research efforts primarily focused on MST design issues such as panel design, module length, test length, distribution of test…

This multilevel mixed methods investigation examines the experiences of developing self-evaluation skills for simulation fellows in an interprofessional simulation fellowship program. Interprofessional fellows (N = 12) and faculty (N = 4) engaged in a three-phase study using video-assisted learning tools to explore the differences in…

Missing data is a common challenge to any researcher in almost any field of research. In particular, human participants in research do not always respond or return for assessments leaving the researcher to rely on missing data methods. The most common methods (i.e., Multiple Imputation and Full Information Maximum Likelihood) assume that the…

The use of Simulation-Based Learning (SBL) has increased in Nutrition and Dietetic (N&D) programs, although the research supporting its usability in N&D students is lacking. There are limited quality SBL instruments available that have been validated and tested for reliability in N&D students preparing for clinical practice. This…

Clinical Reasoning (CR) integrates thinking and decision-making in clinical practice (Huhn et al., 2019). CR is an established area of research in Doctor of Physical Therapy (DPT) education (Musolino & Jensen, 2019; Jensen & Mostrom, 2012) and has been acknowledged as a core competency of physical therapist residency education (APTA…

Background: Current evaluation methods for nurse anesthesia students primarily assess didactic knowledge while lacking measures to evaluate students' critical thinking and application of clinical knowledge in decision making (Council on Accreditation of Nurse Anesthetists [COA], 2022; Staun et al., 2020). Purpose: This study aimed to develop an…

Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…

In randomized control trials (RCT), the recent focus has shifted to how an intervention yields positive results on its intended outcome. This aligns with the recent push of implementation science in healthcare (Bauer et al., 2015) but goes beyond this. RCTs have moved to evaluating the theoretical framing of the intervention as well as differing…

In real-world situations, multidimensional data may appear on large-scale tests or attitudinal surveys. A simple structure, multidimensional model may be used to evaluate the items, ignoring the cross-loading of some items on the secondary dimension. The purpose of this study was to investigate the influence of structure complexity magnitude of…

In educational contexts, students often self-select into specific interventions (e.g., courses, majors, extracurricular programming). When students self-select into an intervention, systematic group differences may impact the validity of inferences made regarding the effect of the intervention. Propensity score methods are commonly used to reduce…

Advanced practice provider (APP) fellowship programs are comprehensive programs designed for physician assistants (PAs) and nurse practitioners (NPs) to acquire the necessary knowledge and skills to deliver safe, high-quality care in their specialized areas of practice (Advanced Practice Provider Fellowship Accreditation TM, 2023). An APP…

There has been some research in the use of propensity scores in the context of measurement error in the confounding variables; one recommended method is to generate estimates of the mis-measured covariate using a latent variable model, and to use those estimates (i.e., factor scores) in place of the covariate. I describe a simulation study…