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Yavuz Ercan Gül; Rüstü Yesil – Problems of Education in the 21st Century, 2024
Although equality of opportunity in education is a current and important issue, most of the studies on this subject are based on theoretical studies rather than empirical studies. The main reason for this can be said to be the lack of a valid and reliable measurement tool in this field. For this reason, this study aims to develop a valid and…
Descriptors: Psychometrics, Equal Education, Educational Opportunities, Factor Analysis
Waller, Niels G. – Journal of Educational and Behavioral Statistics, 2023
Although many textbooks on multivariate statistics discuss the common factor analysis model, few of these books mention the problem of factor score indeterminacy (FSI). Thus, many students and contemporary researchers are unaware of an important fact. Namely, for any common factor model with known (or estimated) model parameters, infinite sets of…
Descriptors: Statistics Education, Multivariate Analysis, Factor Analysis, Factor Structure
Philipp Sterner; Kim De Roover; David Goretzko – Structural Equation Modeling: A Multidisciplinary Journal, 2025
When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently, new methods have been developed based on exploratory factor analysis (EFA); most notably, as extensions of multi-group EFA, researchers introduced…
Descriptors: Error of Measurement, Measurement Techniques, Factor Analysis, Structural Equation Models
Sacide Güzin Mazman Akar – Journal of Education and Learning (EduLearn), 2025
Disengagement is considered a significant component that affects the success, participation, and activity of the students in the online course. Reviewing the literature revealed the lack of a measurement tool for assessing students' disengagement in online courses. This study aimed to develop a scale that examines student disengagement in online…
Descriptors: Learner Engagement, Online Courses, Undergraduate Students, Measures (Individuals)
Shaila Sharmin; Minh-Hao D. Tran; Weihua Fan; Consuelo Arbona; Allison Master; Yali Zou – Journal of Psychoeducational Assessment, 2025
The study examined the psychometric structure of Basic Needs Satisfaction in General Scale (BNSG-S) with a sample of 495 college students. It compared the original 21-item version (Gagné, 2003) with the shortened 16-item version (Johnston & Finney, 2010), both with and without method effects. A series of confirmatory factor analyses (CFA)…
Descriptors: Need Gratification, Measures (Individuals), Psychometrics, College Faculty
Saheed Oyeniran; Musa Adekunle Ayanwale; Adedapo Adetiba Atolagbe; Mapulane Mochekele – Journal of Applied Research in Higher Education, 2025
Purpose: We developed the Goal Achievement Scale in Colleges of Education (GASCE) to address the lack of context-specific assessment tools for evaluating goal achievement in Nigerian colleges of education. Existing instruments fail to capture the unique challenges of these institutions, making a reliable and valid scale essential for assessing…
Descriptors: Schools of Education, Success, Foreign Countries, Measures (Individuals)
Sabiha Üzüm; Rabia Filik; Hasibe Özlen Demircan – International Journal of Emotional Education, 2025
This study aimed to adapt and examine the cross-cultural validity and reliability of the Coping with "Children's Negative Emotions Scale -- Teacher Version" (CNNES-T), which assesses the levels of early childhood (EC) teachers' perception of their reactions towards young children's negative emotions. For this purpose, two studies were…
Descriptors: Test Validity, Test Reliability, Coping, Early Childhood Teachers
Xijuan Zhang; Hao Wu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…
Descriptors: Structural Equation Models, Goodness of Fit, Robustness (Statistics), Factor Structure
Maria Meinerding; Jeremiah Weinstock; Jillon Vander Wal; Terri L. Weaver – Journal of American College Health, 2024
Objectives: Food and Alcohol Disturbance (FAD) is the phenomenon in which individuals exhibit co-occurring hazardous alcohol and eating behaviors to either negate caloric intake associated with alcohol and/or maximize intoxication. While the Compensatory Eating and Behaviors in Response to Alcohol Scale (CEBRACS) is the most widely used measure to…
Descriptors: Drinking, Alcohol Abuse, Eating Disorders, Factor Structure
Hossein Souri; Kourosh Amraei; Mohammad Bagher Koopai – School Mental Health, 2024
Bullying is a form of school violence that has recently received the attention of school psychologists. One of these problems that exists in almost all schools is the phenomenon of school bullying. The aim of this study is to examine the psychometric reliability and validity of the Participant Role Scale in bullying in Persian and compare the…
Descriptors: Psychometrics, Measures (Individuals), Test Reliability, Test Validity
Zhang, Xijuan; Zhou, Linnan; Savalei, Victoria – Educational and Psychological Measurement, 2023
Zhang and Savalei proposed an alternative scale format to the Likert format, called the Expanded format. In this format, response options are presented in complete sentences, which can reduce acquiescence bias and method effects. The goal of the current study was to compare the psychometric properties of the Rosenberg Self-Esteem Scale (RSES) in…
Descriptors: Psychometrics, Self Concept Measures, Self Esteem, Comparative Analysis
Kamran, Muhammad; Ameer, Iqra; Saleh, Warda; Aslam, Sarfraz; Benyo, Ahmed – Psychology in the Schools, 2023
Creativity has long been emphasized as an essential skill identified and developed in classrooms by eminent psychologists. A high level of creativity is required to adapt to the changing world of innovation. University-level students are privileged as they get multiple opportunities to learn creative skills. They are facilitated with autonomy and…
Descriptors: Psychometrics, Creativity Tests, Factor Analysis, Factor Structure
Abdolvahab Khademi; Craig S. Wells; Maria Elena Oliveri; Ester Villalonga-Olives – SAGE Open, 2023
The most common effect size when using a multiple-group confirmatory factor analysis approach to measurement invariance is [delta]CFI and [delta]TLI with a cutoff value of 0.01. However, this recommended cutoff value may not be ubiquitously appropriate and may be of limited application for some tests (e.g., measures using dichotomous items or…
Descriptors: Factor Analysis, Factor Structure, Error of Measurement, Test Items
Julia Pryce; Kelsey Deane – Mentoring & Tutoring: Partnership in Learning, 2025
This article details a two-phase study of the development and validation of a mentor attunement scale (MAS). Phase 1 involved theory-driven generation of 20 items to measure four facets of attunement. Rasch analysis of data collected from 390 youth mentors indicated problematic reverse-coded items, which were eliminated to improve scale…
Descriptors: Mentors, Skill Development, Psychometrics, Measures (Individuals)
Aitana González-Ortiz de Zárate; Helena Roig-Ester; Paulina E. Robalino Guerra; Anja Garone; Carla Quesada-Pallarès – International Journal of Training and Development, 2025
Transfer beliefs are understudied in the training transfer field, whereas structural equation modelling (SEM) has been a widely used technique to study transfer models. New methodologies are needed to study training transfer and network analysis (NA) has emerged as a new approach that provides a visual representation of a given network. We…
Descriptors: Trainees, Student Attitudes, Beliefs, Transfer of Training