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Stefanie A. Wind; Benjamin Lugu – Applied Measurement in Education, 2024
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…
Descriptors: Item Response Theory, Data Analysis, Simulation, Nonparametric Statistics
Jessica Renger; Stewart I. Donaldson – American Journal of Evaluation, 2024
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…
Descriptors: Anxiety, Universities, Evaluators, Organizations (Groups)
Roger Lee; Susan Thompson – e-Journal of Business Education and Scholarship of Teaching, 2024
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…
Descriptors: Test Anxiety, Educational Research, Summative Evaluation, Evaluation Methods
Russell P. Houpt; Kevin J. Grimm; Aaron T. McLaughlin; Daryl R. Van Tongeren – Structural Equation Modeling: A Multidisciplinary Journal, 2024
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…
Descriptors: Structural Equation Models, Profiles, Sample Size, Evaluation Methods
Diego Herrero-González; Víctor Manuel López-Pastor; Juan Carlos Manrique-Arribas; André Moura – European Physical Education Review, 2024
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…
Descriptors: Physical Education Teachers, Teacher Education Programs, Evaluation Methods, Formative Evaluation
Bianca Montrosse-Moorhead; Amanda Sutter; Chisomo Phiri – AERA Online Paper Repository, 2024
Evaluators widely agree that the involvement of key actors is a central aspect of quality practice. However, a scoping review of to what extent and how youth are included has not been explored. This is an important omission because many evaluations are done on programs that directly serve youth. We examined 159 evaluation reports in a publicly…
Descriptors: Literature Reviews, Youth, Inclusion, Program Evaluation
Nan Bernstein Ratner – Language Teaching Research Quarterly, 2024
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…
Descriptors: Communication Disorders, Language Impairments, Speech Impairments, Evaluation Methods
Yasuhiro Yamamoto; Yasuo Miyazaki – Journal of Experimental Education, 2025
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…
Descriptors: Sample Size, Hierarchical Linear Modeling, Bayesian Statistics, Prior Learning
Timothy R. Konold; Elizabeth A. Sanders; Kelvin Afolabi – Structural Equation Modeling: A Multidisciplinary Journal, 2025
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…
Descriptors: Evaluation Methods, Error of Measurement, Validity, Monte Carlo Methods
Christian Mazimpaka; Rashmi Paudel; Beverly Heinze-Lacey; Patricia A. Elliott – Journal of School Nursing, 2025
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…
Descriptors: School Nurses, Leadership Training, Program Evaluation, Competence
Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
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…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
Junqiang Dai; Jason W. Griffin; K. Suzanne Scherf – Developmental Psychology, 2024
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…
Descriptors: Racial Factors, Adolescents, Meta Analysis, Bias
Xiaoling Zhang; Fenia Aivaloglou; Marcus Specht – European Journal of STEM Education, 2024
Computational Thinking (CT) is considered a core 21st century digital skill. The aspect of assessment is crucial and knowing what, who, when, how, and where to assess is important for assessment design. In this study, we conducted an umbrella review to gain insights regarding CT assessment in higher education. In total, we analyzed 11 reviews,…
Descriptors: Computation, Thinking Skills, Higher Education, 21st Century Skills
John M. LaVelle; Clayton L. Stephenson; Scott I. Donaldson; Justin D. Hackett – American Journal of Evaluation, 2024
Psychological theory suggests that evaluators' individual values and traits play a fundamental role in evaluation practice, though few empirical studies have explored those constructs in evaluators. This paper describes an empirical study on evaluators' individual, work, and political values, as well as their personality traits to predict…
Descriptors: Evaluators, Values, Political Attitudes, Work Attitudes
Krista M. Soria; Brandon W. Kliewer – New Directions for Student Leadership, 2024
In emergence-based leadership education, the knowledge and experiences co-created in the classroom may violate some of the assumptions behind traditional teaching and learning assessment methods. Thus, traditional assessment, evaluation, and outcomes for courses utilizing emergence-based methods, such as intentional emergence, case-in-point,…
Descriptors: Leadership Training, Evaluation Methods, Conventional Instruction, Teaching Methods