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Bilge Bal-Sezerel; Deniz Arslan; Ugur Sak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the ASIS in 2020, 2021, and 2022. The analyses were conducted using multisample confirmatory factor analyses. Factorial invariance was tested with six…
Descriptors: Intelligence Tests, Grade 1, Factor Structure, Scores
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Bodo Przibilla; Chiara Enderle; Gino Casale; David Scheer; Anett Platte; Conny Melzer; Tatjana Leidig – European Journal of Education, 2025
Based on previous research, it can be assumed that teachers' self-efficacy (TSE) varies across situations, domains and individual students' behaviors confronting teachers with particularly challenging tasks. The construct of student-specific TSE is considered informative theoretical basis for understanding the relationship between…
Descriptors: Psychometrics, German, Foreign Countries, Teacher Effectiveness
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Sergio Dominguez-Lara; Mario A. Trógolo; Rodrigo Moreta-Herrera; Diego Vaca-Quintana; Manuel Fernández-Arata; Ana Paredes-Proaño – Journal of Psychoeducational Assessment, 2025
Academic engagement plays a crucial role in students' learning and performance. One of the most popular measures for assessing this construct is the Utrecht Work Engagement Scale for Students (UWES-S), which is based on a tridimensional conceptualization consisting of dedication, vigor, and absorption. However, prior research on its factor…
Descriptors: Learner Engagement, College Students, Foreign Countries, Factor Analysis
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Michael D. Wray; Matthew R. Reynolds – Journal of Psychoeducational Assessment, 2025
The KeyMath-3 Diagnostic Assessment (KM-3) is an individually-administered math assessment used in educational placement and diagnostic decisions. It includes 10 subtests making up Basic Concepts, Operations, and Applications indexes and a "Total Test" composite that measures overall math ability. Here, covariances among subtests from…
Descriptors: Diagnostic Tests, Mathematics Tests, Arithmetic, Factor Analysis
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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
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Sukru Murat Cebeci; Selcuk Acar – Journal of Creative Behavior, 2025
This study presents the Cebeci Test of Creativity (CTC), a novel computerized assessment tool designed to address the limitations of traditional open-ended paper-and-pencil creativity tests. The CTC is designed to overcome the challenges associated with the administration and manual scoring of traditional paper and pencil creativity tests. In this…
Descriptors: Creativity, Creativity Tests, Test Construction, Test Validity
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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
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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)
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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)
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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
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Ahmet Yildirim; Aysenur Mumcuoglu; Ecem Yasar Türkel; Zeliha Demirci Ünal; Elif Naz Altas; Elif Topatan; Seher Kiliç – Psychology in the Schools, 2025
Philanthropy is love of humanity and a sincere action without anticipating anything in return for oneself and the community. In contrast, misanthropy is defined as not loving and hating people. The purpose of the current study is to develop a valid and reliable scale to measure in-service teachers' philanthropic tendencies. First of all, the…
Descriptors: Prosocial Behavior, Private Financial Support, Attitude Measures, Teacher Attitudes
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Deniz Mertkan Gezgin; Tugba Türk Kurtça – Education and Information Technologies, 2025
The purpose of this research is to create a reliable and valid scale to assess AIlessphobia in Education (the fear of being without Artificial Intelligence in education) among university students. In three phases, a sample of 1378 undergraduate students from different faculties at a public university participated in the reliability and validity…
Descriptors: Test Construction, Fear, Artificial Intelligence, Psychometrics
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Deniz Görgülü; Fatma Coskun; Mustafa Demi?r; Mete Si?pahi?oglu – Education and Information Technologies, 2025
This study aims to examine the psychometric properties of a scale developed to measure teachers' ability to use artificial intelligence tools in education. The scale was originally proposed as having 33 items across 5 sub-dimensions by Chat GPT-4, an AI system. To establish content validity, the scale form was submitted to expert review. An…
Descriptors: Measures (Individuals), Artificial Intelligence, Technology Uses in Education, Psychometrics
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Eun-Young Park – Journal of Applied Research in Intellectual Disabilities, 2025
Background: Individuals with intellectual disabilities are as vulnerable to depression as their typically developing peers. This study aimed to verify the reliability and validity of the Center for Epidemiologic Studies Depression Scale (CES-D) in individuals with intellectual disabilities and determine whether the scale is appropriate for…
Descriptors: Factor Structure, Factor Analysis, Depression (Psychology), Symptoms (Individual Disorders)
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Jordan B. Westcott; Louis M. Rocconi – Measurement and Evaluation in Counseling and Development, 2025
Objective: This study sought to examine the factor structure, internal consistency, and measurement invariance of the Brief Resilience Scale (BRS) and the Multidimensional Scale of Perceived Social Support (MSPSS) among older sexual minority women with disabilities. Method: Participants (n = 208) consisted of sexual minority women aged 55 and…
Descriptors: Psychometrics, Resilience (Psychology), Social Support Groups, Measures (Individuals)
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