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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)
Acar Guvendir, Meltem; Ozer Ozkan, Yesim – International Journal of Assessment Tools in Education, 2022
The aim of this study is to examine how the practice of different item removal strategies during exploratory factor analysis (EFA) phase of scale development change the number of factors, factor loadings, explained variance ratio, and reliability values (a and ?) explained. In the study, data obtained from 379 university students were used for the…
Descriptors: Test Items, Factor Analysis, Factor Structure, Test Construction
Torres Jiménez, Stephanie; Ramírez-Echeverry, Jhon Jairo; Restrepo-Calle, Felipe – Journal of Educational Computing Research, 2024
This article presents the design, construct validation, and reliability of a self-report instrument in Spanish that aims to characterize different types of strategies that students can use to learn computer programming. We provide a comprehensive overview of the identification of learning strategies in the existing literature, the design and…
Descriptors: Test Construction, Construct Validity, Test Reliability, Questionnaires
Güçlü, Nihal Tunca; Tunca Güçlü, Nihal; Uyar, Melis Yesilpinar; Sahin, Senar Alkin – Shanlax International Journal of Education, 2022
This study aims to develop a valid and reliable measurement tool that will serve to determine the level of higher education students' tendency to be open to learning. The sample of the research consists of 523 higher education students. As a result of the literature review and analysis, the dimensions predicted as sub-dimensions in the scale are…
Descriptors: College Students, Student Attitudes, Educational Attitudes, Attitude Measures
Bai, Xuemei; Gu, Xiaoqing; Guo, Rifa – Education and Information Technologies, 2023
This study aimed to verify the applicability of the community of inquiry (CoI) survey instrument in MOOC involving 1,186 college students from 11 different disciplines in China. Exploratory factor analysis was used to explore potential factor structure models, and confirmatory factor analysis was utilized to verify the four-factor structure…
Descriptors: Models, Audits (Verification), Construct Validity, Communities of Practice
Affum-Osei, Emmanuel; Goto, Sharon G.; Yeung, June Chun; Wang, Rong; Lam, Hodar; Abdul-Nasiru, Inusah; Chan, Darius K.-S. – Journal of Career Development, 2021
This study validates Shane et al.'s Entrepreneurial Career Motives Scale across nations. A total sample of 948 undergraduate and postgraduate students from five nations (China = 229, Hong Kong = 213, Holland = 136, United States = 155, and Ghana = 215) were recruited to complete a survey designed to measure their entrepreneurial motives and other…
Descriptors: Foreign Countries, College Students, Entrepreneurship, Questionnaires
Lee, In Heok; Sovet, Laurent; Banda, Kiyomi; Kang, Dae-Koo; Park, Joo-Ho – International Journal for Educational and Vocational Guidance, 2021
The Career Adapt-Abilities Scale (CAAS) has been validated in several East Asian countries, but the measurement equivalence of its four dimensions and construct validity has not yet been evaluated in Japan. Results from Japanese (n = 298) and South Korean (n = 301) college students indicated good to excellent internal consistency estimates, and…
Descriptors: Foreign Countries, Measures (Individuals), Construct Validity, Test Reliability
Vilca, Lindsey W.; Travezaño-Cabrera, Aaron; Santos-Garcia, Stephany – Electronic Journal of Research in Educational Psychology, 2022
Introduction: The objective was to evaluate the factor structure and propose a new version of the Rosenberg Self-Esteem Scale with only positive items to overcome the method effect associated with negative items. Method: A version A (positive and negative items) and a version B (only positive items) were considered. A sample of 350 university…
Descriptors: Self Esteem, Self Concept Measures, Factor Analysis, Factor Structure
Németh, Lilla; Bernáth, László – Educational Assessment, 2023
The Cognitive Test Anxiety Scale (CTAS) is a unidimensional scale designed to measure the cognitive aspect of test anxiety. The instrument has been adapted in several countries, and convincing psychometric properties have been found; however, uncertainties remain regarding its factor structure. Therefore, the aim of this study is twofold: to…
Descriptors: Test Anxiety, Cognitive Processes, Measures (Individuals), Factor Structure
You, Hye Sun; Park, Sunyoung; Marshall, Jill A.; Delgado, Cesar – Research in Science Education, 2022
Growing interest in interdisciplinary (ID) understanding has led to the recent development of four ID assessments, none of which have previously been comprehensively validated. Sources of evidence for the validity of tests include construct validity, such as the internal structure of the test. ID tests may (and should) test both disciplinary (D)…
Descriptors: High School Students, College Students, Interdisciplinary Approach, Test Construction
Lakaev, Natasha – SAGE Open, 2022
Rasch Analysis suggested the Lakaev Academic Stress Response Scale-1 (LASRS-1) would benefit from refinement by the addition of items and changes to the wording of other items. It was named the LASRS-2 and contained Four Domains (Affective, Behavioral, Cognitive, and Physiological). Rasch Model Analysis tested construct validity and internal…
Descriptors: Attitude Measures, Psychometrics, Item Response Theory, Stress Variables
Xu, Chao; Schau, Candace – Journal of Psychoeducational Assessment, 2021
Numerous studies have been conducted using the Survey of Attitudes Toward Statistics-36 (SATS-36). Recently, large-scale assessment studies have begun to examine the extent to which students vary in their statistics attitudes across instructors. Yet, empirical evidence linking student responses to the SATS items to instructor-level constructs is…
Descriptors: Statistics Education, Student Attitudes, Teacher Attitudes, College Students
Lehmann, Vicky; Hillen, Marij A.; Verdam, Mathilde G. E.; Pieterse, Arwen H.; Labrie, Nanon H. M.; Fruijtier, Agnetha D.; Oreel, Tom H.; Smets, Ellen M. A.; Visser, Leonie N. C. – International Journal of Social Research Methodology, 2023
The Video Engagement Scale (VES) is a quality indicator to assess engagement in experimental video-vignette studies, but its measurement properties warrant improvement. Data from previous studies were combined (N = 2676) and split into three subsamples for a stepped analytical approach. We tested construct validity, criterion validity,…
Descriptors: Likert Scales, Video Technology, Vignettes, Construct Validity
Smith, Robert L.; Karaman, Mehmet A.; Balkin, Richard S.; Talwar, Saumya – British Journal of Guidance & Counselling, 2020
The purpose of this study was to develop a theoretically-driven instrument of achievement motivation and determine its validation. The Achievement Motivation Measure (AMM) is closely aligned with Atkinson and McClelland's (1948, 1953, 1961) theoretical constructs of achievement thoughts and behaviours. Confirmatory and exploratory factor analysis…
Descriptors: Academic Achievement, Student Motivation, Measures (Individuals), Psychometrics
Factor Structure and Psychometric Properties of the Digital Stress Scale in a Chinese College Sample
Chunlei Gao; Mingqing Jian; Ailin Yuan – SAGE Open, 2024
The Digital Stress Scale (DSS) is used to measure digital stress, which is the perceived stress and anxiety associated with social media use. In this study, the Chinese version of the DSS was validated using a sample of 721 Chinese college students, 321 males and 400 females (KMO = 0.923; Bartlett = 5,058.492, p < 0.001). Confirmatory factor…
Descriptors: Factor Structure, Factor Analysis, Psychometrics, Anxiety

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