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Snejana Slantcheva-Durst – Discover Education, 2025
This study assesses the civic orientation of graduate students via the "Importance of Social Action Engagement" scale and tests that instrument's construct validity and reliability when applied to graduate students. The study contributes to our understanding of the levels of graduate students' willingness to engage with social issues,…
Descriptors: Graduate Students, Civics, Citizenship Education, Measures (Individuals)
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Ilona Kocvarová; Jan Kalenda; Jitka Vaculíková; Zuzana Neupauer; Ruženka Šimonji Cernak; Anna Wloch – Higher Education Quarterly, 2024
The article focuses on adaptation and validation of the Academic Motivation Scale questionnaire (AMS-28) in higher education in four Eastern European countries: Czechia, Slovakia, Serbia, and Poland. The research was conducted with a total of 1711 respondents. We examined the construct validity of AMS-28 including measurement invariance and…
Descriptors: Foreign Countries, Learning Motivation, Measures (Individuals), Validity
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Yi Wang; E. Michael Bohlig; Sandra L. Dika – New Directions for Community Colleges, 2025
Using data from the 2019 Community College Survey of Student Engagement (CCSSE) 3-year cohort, this article presents a validation study of the 2017 version of CCSSE. Exploratory and confirmatory factor analyses were implemented to investigate the psychometric properties and construct validity with strategies to address missing data. Eight…
Descriptors: Learner Engagement, Community Colleges, Community College Students, Construct Validity
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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
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Stella Y. Kim; Doris U. Bolliger; Florence Martin – Distance Education, 2025
The present study evaluated the validity of the Online Learner Satisfaction Instrument (OLSI) in terms of construct and convergent validity, and measurement invariance across demographic groups. The study results revealed that the factor structures generally confirmed to the original factor structure proposed in the instrument. Also, some…
Descriptors: Student Satisfaction, Test Validity, Electronic Learning, Measures (Individuals)
Soubhik Barari; Eric Newsom; Ji Eun Park; Susan M. Paddock – NORC at the University of Chicago, 2024
Prospective students and their families use college rankings to navigate their higher education options. Rising tuition and fees have made the college decision more fraught. Recently, the major college ranking providers have revised their methodologies to reflect costs and other considerations. These revisions raise important questions about the…
Descriptors: Construct Validity, Evaluation Methods, Educational Quality, Student Costs
Soubhik Barari; Ji Eun Park; Susan Paddock – NORC at the University of Chicago, 2025
Rankings of international higher education institutions have become influential, newsworthy metrics worldwide. This is unsurprising given the rising prevalence of cross-national college attendance. This report evaluates the methodologies of three major international ranking systems: the Academic Ranking of World Universities (ARWU, or…
Descriptors: Reputation, Institutional Evaluation, Colleges, Research Methodology
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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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Jewelle V. Olarte; Eddie G. Fetalvero; Garry Vanz V. Blancia – Problems of Education in the 21st Century, 2024
Science education is a key area of research, largely due to its inherent complexity and challenges. Various teaching methods have been developed to address these difficulties, which include the consensus classroom climate. However, no standardized tool has been created to evaluate the consensus within a classroom. This study aimed to develop and…
Descriptors: Classroom Environment, Test Construction, College Freshmen, Student Attitudes
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Rohani Rohan; Wichian Chutimaskul; Rita Roy; Jari Hautamäki; Suree Funilkul; Debajyoti Pal – Education and Information Technologies, 2025
The field of information security is experiencing growing popularity within Higher Education Institutions (HEIs), reflecting the increasing recognition of its importance in safeguarding sensitive data, and mitigating cyber risks. This shift highlights the critical need for effective security practices within educational environments, where data…
Descriptors: Test Construction, Information Security, Stakeholders, Higher Education
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Harald A. Mieg; Katrin E. Klieme; Emma Barker; Jane Bryan; Caroline Gibson; Susanne Haberstroh; Femi Odebiyi; Frano P. Rismondo; Brigitte Römmer-Nossek; Janina Thiem; Erika Unterpertinger – Education and Information Technologies, 2024
This article presents a ten-item short scale for measuring digital competence. The scale is based on the Digital Competence Framework for Citizens, DigComp2.1 (Carretero et al., 2017). For our surveys, we used five items from the DigCompSat study (Clifford et al., 2020) and created five new ones to address the competence areas defined by…
Descriptors: Digital Literacy, Competence, Student Evaluation, Undergraduate Students
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Jessica L. Monahan; Brian Freedman; Vini Singh; Luke Kalb; Cassidy Edmondson – Measurement and Evaluation in Counseling and Development, 2024
Internal validity and measurement invariance of the Counseling Center Assessment of Psychological Symptoms-62 item (CCAPS-62) was examined via confirmatory factor analytic models among autistic (n = 1,268) and non-autistic (n = 3,776) college students. Findings reviewed the CCAPS-62 had a strong model fit and was invariant across groups.
Descriptors: Measures (Individuals), College Students, Autism Spectrum Disorders, Symptoms (Individual Disorders)
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Fatma Aslan-Tutak; Arife Sahin; Berna Sena Civan; Gunes Ertas – Mentoring & Tutoring: Partnership in Learning, 2024
This article aims to reveal the adaptation and validation process of the Mentoring for Effective Mathematics Teaching (MEMT)--Mentee and --Mentor scales in the Turkish context, which was developed to examine preservice mathematics teachers' and mathematics mentor teachers' perceptions of mentoring practices within the Five-factor mentoring model.…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, College Faculty
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Peter F. Halpin – Society for Research on Educational Effectiveness, 2024
Background: Meta-analyses of educational interventions have consistently documented the importance of methodological factors related to the choice of outcome measures. In particular, when interventions are evaluated using measures developed by researchers involved with the intervention or its evaluation, the effect sizes tend to be larger than…
Descriptors: College Students, College Faculty, STEM Education, Item Response Theory
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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
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