Researchers who use measurement models for evaluation purposes often select models with stringent requirements, such as Rasch models, which are parametric. Mokken Scale Analysis (MSA) offers a theory-driven nonparametric modeling approach that may be more appropriate for some measurement applications. Researchers have discussed using MSA as a…

Anxiety is a multifaceted force that can negatively impact the ability of evaluators to succeed in practice. In the evaluation literature, discussions concerning anxiety have primarily been limited to strategies to reduce stakeholder anxiety to encourage positive and productive working relationships with evaluators. This study was among the first…

This paper presents a review of the literature pertaining to exam anxiety, highlighting findings from empirical studies, theoretical frameworks, and practical strategies. Exam anxiety is a pervasive issue affecting students worldwide, impacting academic performance and psychological well-being. This review explores the causes, manifestations, and…

Numerous methods exist to determine the optimal number of classes when using latent profile analysis (LPA), but none are consistently correct. Recently, the likelihood incremental percentage per parameter (LI3P) was proposed as a model effect-size measure. To evaluate the LI3P more thoroughly, we simulated 50,000 datasets, manipulating factors…

Assessment is a key element in the teaching-learning process in physical education (PE). In 2020, the Association Internationale des Écoles Supérieures d'Éducation Physique (AIESEP) published a position statement on PE assessment, in which it reviews the current state of the field and establishes the current yet forward-looking main lines of…

Our purpose is to highlight the contributions of TalkBank initiatives to improved understanding of clinical impairments in adult and child speakers and examine remaining challenges and proposed solutions. We review the origins and development of TalkBank initiatives that have targeted a wide array of typical and atypical child and adult…

Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…

Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…

This scoping review explores leadership training opportunities for school nurses. The review was conducted to inform the development of a new leadership training program for school nurses in Massachusetts. A search conducted across four databases (PubMed, CINAHL, ERIC, and Web of Science) yielded four articles meeting the search criteria published…

Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…

The main goal of the research is to identify the correlation between indicators of learnability in entrepreneurial abilities and indicators of business manager effectiveness. The study was based on a sample of 130 respondents in Group 1 and 140 respondents in Group 2. It can be inferred that 81% of the variances in the measurement of performance,…

This systematic review synthesizes 14 peer-reviewed studies from 2015 to 2023, focusing on the assessment methods and delivery of digital microcredentials. Microcredentials provide specialized, focused content and recognize professional learning or competency in specific skills. This paper defines digital microcredentials as those offered in an…

Only about 1% of the children receiving special education services are deaf or hard of hearing (DHH). This group of children is highly heterogeneous with respect to a range of factors such as age of onset, degree of hearing loss, language and communication choices and access, and educational settings. Capturing the complex background of a DHH…

In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…

Adolescence is a critical developmental period that is marked by drastic changes in face recognition, which are reflected in patterns of bias (i.e., superior recognition for some individuals compared to others). Here, we evaluate how race is perceived during face recognition and whether adolescents exhibit an own-race bias (ORB). We conducted a…