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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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Katie Monahan; Allegra Sacco; Natalie Fenn; Cheyenne Reyes; Hayley Lindsey; Andrea Paiva; Mark Robbins – Journal of American College Health, 2025
Introduction: Vaping is common among young adults in the United States. The Transtheoretical Model (TTM) has demonstrated success in smoking cessation efforts; however, it has not been comprehensively applied to vaping cessation, and core TTM vaping measures have not been developed. Method: A cross-sectional survey including measures of stage of…
Descriptors: Smoking, Electronic Equipment, Rating Scales, Factor Analysis
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Abdullah Alamer; Mark Feng Teng; Atsushi Mizumoto – Applied Linguistics, 2025
Research into self-regulating capacity in vocabulary learning is recognized as a significant topic within the second language domain. The self-regulating capacity in vocabulary learning scale (SRCvoc; Tseng et al. 2006) is arguably the most widely used tool for assessing this construct. The common factor model, which is applied through…
Descriptors: Construct Validity, Language Proficiency, Vocabulary Skills, Factor Analysis
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Yimin Ning; Wenjun Zhang; Dengming Yao; Bowen Fang; Binyan Xu; Tommy Tanu Wijaya – Education and Information Technologies, 2025
The integration of AI in education highlights the significance of Teachers' AI Literacy (TAIL). Existing assessment tools, however, are hindered by incomplete indicators and a lack of practicality for large-scale application, necessitating a more systematic and credible evaluation method. This study is based on a systematic literature review and…
Descriptors: Artificial Intelligence, Rating Scales, Technological Literacy, Factor Analysis
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Ximena Uribe-Zarain; Beth Kania-Gosche; Mark Hogrebe – Mid-Western Educational Researcher, 2025
First-Year Teacher Surveys (FYTS) are essential for evaluating teacher preparation programs (TPPs), providing crucial feedback from recent graduates about their training and readiness for real-world teaching. This study focuses on Missouri's FYTS, utilizing Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to investigate the…
Descriptors: Teacher Education Programs, State Standards, Factor Analysis, Graduates
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Loris T. Jeitziner; Lisa Paneth; Oliver Rack; Susanne Bleisch; Carmen Zahn – International Journal of Computer-Supported Collaborative Learning, 2025
Quality of collaborative group engagement (QCGE) is conceptualised as a complex, shared, and multidimensional construct critical to learning outcomes in collaborative learning. It is currently measured in a variety of ways, including rich observation-based methods. However, a standardised self-assessment method for the construct of QCGE has not…
Descriptors: Educational Quality, Cooperative Learning, Self Evaluation (Individuals), Measures (Individuals)
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Freed, Rachel; McKinnon, David; Fitzgerald, Michael; Norris, Christina M. – Physical Review Physics Education Research, 2022
This paper presents a new astronomy self-efficacy instrument, composed of two factors; one relating to learning astronomy content, which we call astronomy personal self-efficacy, and the other relating to the use of astronomical instrumentation, specifically the use of remote robotic telescopes for data collection. The latter is referred to as the…
Descriptors: Test Construction, Test Validity, Astronomy, Self Efficacy
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De Almeida Maia, Denise; Pohl, Steffi; Okuda, Paola Matiko Martins; Liu, Ting; Puglisi, Marina Leite; Ploubidis, George; Eid, Michael; Cogo-Moreira, Hugo – Educational Assessment, Evaluation and Accountability, 2022
The Bracken School Readiness Assessment (BSRA) has been used in large studies such as the Millennium Cohort Study (MCS). Important conclusions might be done regarding its reliability for the prediction of children's school readiness taking advantage of such large-scale evaluation. Although BSRA has being largely used, few are the studies at…
Descriptors: School Readiness, Screening Tests, Psychometrics, Preschool Children
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Pinar, Mehmet; Horne, Timothy J. – Research Evaluation, 2022
Performance-based research funding systems have been extensively used around the globe to allocate funds across higher education institutes (HEIs), which led to an increased amount of literature examining their use. The UK's Research Excellence Framework (REF) uses a peer-review process to evaluate the research environment, research outputs and…
Descriptors: Higher Education, Foreign Countries, Research, Evaluation
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Karakus, Sena; Akbay, Sinem Evin; Uzun, Nezaket Bilge – Journal on Educational Psychology, 2022
The aim of the present research is to develop a psychometrically qualified measurement tool to find out the emotional authenticity levels of individuals. Taking roots from the rational approach, 53 items were written by the researchers in line with the relevant literature review and the opinions of the experts, and the expert opinion form prepared…
Descriptors: Test Construction, Psychological Patterns, Test Validity, Test Reliability
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Cosemans, Tim; Rosseel, Yves; Gelper, Sarah – Educational and Psychological Measurement, 2022
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists discover latent variables. Yet, the results can be influenced by the methodological decisions the researcher makes along the way. In this article, we focus on the choice regarding the number of factors to retain: We compare the performance of the…
Descriptors: Social Science Research, Research Methodology, Graphs, Factor Analysis
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Raykov, Tenko; Calvocoressi, Lisa – Educational and Psychological Measurement, 2021
A procedure for evaluating the average R-squared index for a given set of observed variables in an exploratory factor analysis model is discussed. The method can be used as an effective aid in the process of model choice with respect to the number of factors underlying the interrelationships among studied measures. The approach is developed within…
Descriptors: Factor Analysis, Structural Equation Models, Statistical Analysis, Selection
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Xia, Yan – Educational and Psychological Measurement, 2021
Despite the existence of many methods for determining the number of factors, none outperforms the others under every condition. This study compares traditional parallel analysis (TPA), revised parallel analysis (RPA), Kaiser's rule, minimum average partial, sequential X[superscript 2], and sequential root mean square error of approximation,…
Descriptors: Statistical Analysis, Factor Analysis, Accuracy, Goodness of Fit
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Kanokpan Wiboolyasarin; Watcharapol Wiboolyasarin; Ruedee Kamonsawad; Phornrat Tiranant; Poomipat Boonyakitanont; Nattawut Jinowat – International Journal of Information and Learning Technology, 2024
Purpose: The use of three-dimensional virtual worlds (3DVWs) is increasingly becoming a common practice in language education to provide digital learning environments for second-language (L2) communicative classes. This study aimed to identify the key factors underlying communication in 3DVWs that can improve the communication skills of L2…
Descriptors: Computer Simulation, Virtual Classrooms, Electronic Learning, Second Language Instruction
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Julia-Kim Walther; Martin Hecht; Benjamin Nagengast; Steffen Zitzmann – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A two-level data set can be structured in either long format (LF) or wide format (WF), and both have corresponding SEM approaches for estimating multilevel models. Intuitively, one might expect these approaches to perform similarly. However, the two data formats yield data matrices with different numbers of columns and rows, and their "cols :…
Descriptors: Data, Monte Carlo Methods, Statistical Distributions, Matrices
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