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Stefanie A. Wind; Benjamin Lugu; Yurou Wang – International Journal of Testing, 2025
Mokken Scale Analysis (MSA) is a nonparametric approach that offers exploratory tools for understanding the nature of item responses while emphasizing invariance requirements. MSA is often discussed as it relates to Rasch measurement theory, which also emphasizes invariance, but uses parametric models. Researchers who have compared and combined…
Descriptors: Item Response Theory, Scaling, Surveys, Evaluation Methods
Yan Xia; Xinchang Zhou – Educational and Psychological Measurement, 2025
Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…
Descriptors: Factor Analysis, Statistical Analysis, Evaluation Methods, Sampling
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
Emily C. Shepard; Mollie Ruben; Lisa L. Weyandt – Journal of Attention Disorders, 2025
Objective: The aim of the present systematic review was to consolidate findings related to emotion recognition accuracy among individuals with attention deficit hyperactivity disorder (ADHD). The review also examined emotion recognition accuracy assessment methods as well as the contribution of gender to emotional recognition accuracy. Method: A…
Descriptors: Attention Deficit Hyperactivity Disorder, Psychological Patterns, Gender Differences, Recognition (Psychology)
Yinying Wang; Joonkil Ahn – Educational Management Administration & Leadership, 2025
School leadership research literature has a large number of widely used constructs. Could fewer constructs bring more clarity? This study evaluates construct content validity, defined as the extent to which a measure's items reflect a theoretical content domain, in school leadership literature. To do so, we reviewed 29 articles that used Teaching…
Descriptors: Network Analysis, Construct Validity, Content Validity, Instructional Leadership
Suppanut Sriutaisuk; Yu Liu; Seungwon Chung; Hanjoe Kim; Fei Gu – Educational and Psychological Measurement, 2025
The multiple imputation two-stage (MI2S) approach holds promise for evaluating the model fit of structural equation models for ordinal variables with multiply imputed data. However, previous studies only examined the performance of MI2S-based residual-based test statistics. This study extends previous research by examining the performance of two…
Descriptors: Structural Equation Models, Error of Measurement, Programming Languages, Goodness of Fit
Kristen Bottema-Beutel; Ruoxi Guo; Caroline Braun; Kacie Dunham-Carr; Jennifer E. Markfeld; Grace Pulliam; S. Madison Clark; Bahar Keçeli-Kaysili; Jacob I. Feldman; Tiffany Woynaroski – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study aims to help researchers design observational measurement systems that yield sufficiently stable scores for estimating caregiver talk among caregivers of infant siblings of autistic and non-autistic children. Stable estimates minimize error introduced by facets of the measurement system, such as variability between coders or…
Descriptors: Autism Spectrum Disorders, Infants, Toddlers, At Risk Persons
Keith J. Topping; Ed Gehringer; Hassan Khosravi; Srilekha Gudipati; Kaushik Jadhav; Surya Susarla – International Journal of Educational Technology in Higher Education, 2025
This paper surveys research and practice on enhancing peer assessment with artificial intelligence. Its objectives are to give the structure of the theoretical framework underpinning the study, synopsize a scoping review of the literature that illustrates this structure, and provide a case study which further illustrates this structure. The…
Descriptors: Peer Evaluation, Artificial Intelligence, Grades (Scholastic), Feedback (Response)
Nina Zipser; Lisa Mincieli – Studies in Higher Education, 2025
This paper presents a framework for utilizing Student Evaluations of Teaching (SET) in faculty evaluations. Recognizing the ongoing debate about the validity of SET as a measure of teaching effectiveness, the authors agree with scholars who propose viewing SET as a tool for gauging 'student perceptions of learning'. They present a method that…
Descriptors: College Faculty, Faculty Evaluation, Student Evaluation of Teacher Performance, Evaluation Criteria
Göran Lövestam; Susanne Bremer-Hoffmann; Koen Jonkers; Pieter van Nes – Research Ethics, 2025
The Joint Research Centre (JRC) is the European Commission's in-house science and knowledge service, employing a substantial staff of scientists devoted to conducting research to provide independent scientific advice for EU policy. Focussed on various research areas aligned with EU priorities, the JRC excels in delivering scientific evidence for…
Descriptors: Integrity, Ethics, Scientific Research, Scientists
Benjamin M. Torsney; Sarah Rawls; Joseph I. Eisman; Catherine Pressimone Beckowski; Cheryl B. Torsney – Educational and Developmental Psychologist, 2025
Objective: The objective of this study was threefold: (a) to create a rubric for response complexity (RC), defined as an admixture of response length, grammatical diversity, categorisation, and sophistication; (b) to measure behavioural and cognitive engagement through students' written responses on a school-based written activity, and (c) to…
Descriptors: College Students, Learner Engagement, Responses, Difficulty Level
Sariati Talib; Bity Salwana Alias; Mohd Effendi Ewan Mohd Matore; Abdul Halim Abdullah – Journal of Education and Learning (EduLearn), 2025
Science, technology, engineering, and mathematics (STEM) education is increasingly recognized as a critical topic in today's educational landscape. This is because contemporary education outcomes need to equip students for the demands of 21st-century jobs. In this context, the role and strategic actions of school principals emerge as critical…
Descriptors: STEM Education, Principals, Administrator Role, Educational Research