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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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Liu, Xiaoling; Cao, Pei; Lai, Xinzhen; Wen, Jianbing; Yang, Yanyun – Educational and Psychological Measurement, 2023
Percentage of uncontaminated correlations (PUC), explained common variance (ECV), and omega hierarchical ([omega]H) have been used to assess the degree to which a scale is essentially unidimensional and to predict structural coefficient bias when a unidimensional measurement model is fit to multidimensional data. The usefulness of these indices…
Descriptors: Correlation, Measurement Techniques, Prediction, Regression (Statistics)
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Sena Dogruyol; Bilge Bakir Aygar; Nezaket Bilge Uzun; Asena Yucedaglar – Journal on Educational Psychology, 2024
The Satisfaction with Life Scale (SWLS), a popular and widely used measurement tool in cross-cultural research, evaluates life satisfaction. Even though numerous studies have demonstrated factorial validity across a range of samples and cultures, the topic of factorial invariance across various subgroups is still up for debate. There are…
Descriptors: Measures (Individuals), Life Satisfaction, Factor Structure, Models
Strauss, Christian L. L. – ProQuest LLC, 2022
In many psychological and educational applications, it is imperative to obtain valid and reliable score estimates of multilevel processes. For example, in order to assess the quality and characteristics of high impact learning processes, one must compute accurate scores representative of student- and classroom-level constructs. Currently, there…
Descriptors: Scores, Factor Analysis, Models, True Scores
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Sebastian Harenberg; Lindsey Keenan; Yvette Ingram; Sayre Wilson; Justine Vosloo; Miranda Kaye – Journal of American College Health, 2025
Background/purpose: Depressive symptoms are prevalent in student-athletes. Evidence for the factorial validity of measures assessing depressive symptoms in student-athletes is presently absent from the literature. This study examined the best fitting factorial structure and invariance across sexes of the PHQ-9. Methods: Data were collected from…
Descriptors: Student Athletes, Depression (Psychology), Symptoms (Individual Disorders), Gender Differences
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Ellen Wilkinson; Cristan Farmer; Evan Kleiman; Vanessa H. Bal – Autism: The International Journal of Research and Practice, 2024
The commonly used Vineland Adaptive Behavior Scales (VABS-3) divides adaptive behavior into three domains comprising three subdomains. The validity of this three-factor structure has not been explored in autistic samples, which are often heterogeneous with respect to language and IQ. Furthermore, although there are two comparable forms,…
Descriptors: Autism Spectrum Disorders, Factor Structure, Severity (of Disability), Models
Emily A. Brown – ProQuest LLC, 2024
Previous research has been limited regarding the measurement of computational thinking, particularly as a learning progression in K-12. This study proposes to apply a multidimensional item response theory (IRT) model to a newly developed measure of computational thinking utilizing both selected response and open-ended polytomous items to establish…
Descriptors: Models, Computation, Thinking Skills, Item Response Theory
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Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
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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
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Inman, Richard A.; Moreira, Paulo A. S.; Faria, Sara; Araújo, Marta; Cunha, Diana; Pedras, Susana; Correia Lopes, Joana – Environmental Education Research, 2022
Certain behaviors, especially when adopted by a majority, can help limit the magnitude of climate change. In this cross-sectional study, the stages of change from the Transtheoretical Model (TTM) are applied to environmentally-significant behavior. We develop and test a new scale -- the Climate Change Stages of Change Questionnaire (CCSOCQ) -- for…
Descriptors: Climate, Behavior Change, Models, Test Construction
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Christian Berger; Lisandra Angulo Gallo – Social Development, 2024
Even though Social and Emotional Learning (SEL) has become a central domain in education, there is still a lack of clarity in the underlying conceptual models guiding educational efforts and insufficient empirical evidence supporting these models. The Chilean Agency for Quality in Education developed a socioemotional questionnaire as part of the…
Descriptors: Social Emotional Learning, Models, Foreign Countries, Interpersonal Competence
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Fong, Carlton J.; Lee, Jihyun; Krou, Megan R.; Hoff, Meagan A.; Johnston-Ashton, Karen; Gonzales, Cassandra; Beretvas, S. Natasha – Journal of Experimental Education, 2023
The Learning and Study Strategies Inventory (LASSI; Weinstein et al., "Learning and study strategies inventory." H&H Publishing, 1987) is a prominent instrument used in thousands of institutions worldwide as an educational and research tool. Despite its widespread prevalence, there are inconsistencies regarding the underlying latent…
Descriptors: Meta Analysis, Factor Structure, Learning Strategies, Measures (Individuals)
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Chen Zong; Andréa Girón Mathern; Nancy Leech; Alan Davis; Carolyn Haug – Journal of Faculty Development, 2022
Why education faculty are motivated to stay or leave an institution has been questioned for decades. To investigate this problem, 91 faculty from schools of education from eleven research universities participated in this study using Maertz and Campion's Motivational Forces survey. The confirmatory factor analysis results indicate that the…
Descriptors: Teacher Motivation, Teacher Persistence, Faculty Mobility, College Faculty
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Zhao, Xin; Coxe, Stefany; Sibley, Margaret H.; Zulauf-McCurdy, Courtney; Pettit, Jeremy W. – Prevention Science, 2023
There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…
Descriptors: Data Analysis, Sample Size, Decision Making, Test Items
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Barbara Means; Julie Neisler – Online Learning, 2023
Learner engagement is well-established as critical for learning online. Professional development for online instructors emphasizes techniques for engaging students, and learning technology products tout features intended to promote engagement (e.g., adaptive content, video, gamification). But the influence of particular instructor practices and of…
Descriptors: Learner Engagement, Electronic Learning, Teaching Methods, Educational Practices
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