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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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Beauducel, André; Kersting, Martin – Educational and Psychological Measurement, 2020
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor…
Descriptors: Factor Structure, Factor Analysis, Sample Size, Intelligence
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Simonet, Daniel V.; Miller, Katherine E.; Askew, Kevin L.; Sumner, Kenneth E.; Mortillaro, Marcello; Schlegel, Katja – Journal of Intelligence, 2021
Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we…
Descriptors: Emotional Intelligence, Intelligence Tests, Self Control, Psychometrics
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Arslan, Deniz; Sak, Ugur – Journal of Psychoeducational Assessment, 2023
The purpose of this study was to examine the factorial invariance of the ASIS (Anadolu Sak Intelligence Scale) across gender. Raw scores from the ASIS standardization study (N = 4641) were used in the analyses. Factorial invariance was analyzed by gender across three age groups: 4-7 (N = 2528), 8-9 (N = 848), and 10-12 (N = 1265) using the…
Descriptors: Gender Differences, Intelligence Tests, Factor Analysis, Raw Scores
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Kush, Joseph C.; Canivez, Gary L. – International Journal of School & Educational Psychology, 2021
This study utilized confirmatory factor analyses to examine the latent factor structure of the Wechsler Intelligence Scale for Children--Fourth Edition, Italian adaptation (WISC-IV Italian) standardization sample. One through five, oblique first-order factor models and higher-order as well as bifactor models were examined and compared using CFA.…
Descriptors: Children, Intelligence Tests, Foreign Countries, Construct Validity
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Chanaa, Abdessamad; El Faddouli, Nour-eddine – International Journal of Information and Communication Technology Education, 2022
Massive open online courses (MOOCs) have evolved rapidly in recent years due to their open and massive nature. However, MOOCs suffer from a high dropout rate, since learners struggle to stay cognitively and emotionally engaged. Learner feedback is an excellent way to understand learner behaviour and model early decision making. In the presented…
Descriptors: MOOCs, Student Attitudes, Data Analysis, Electronic Learning
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José Luis Jiménez-Andrade; Ricardo Arencibia-Jorge; Miguel Robles-Pérez; Julia Tagüeña; Tzipe Govezensky; Humberto Carrillo-Calvet; Rafael A. Barrio; Kimmo Kaski – Research Evaluation, 2024
This paper analyzes the research performance evolution of a scientific institute, from its genesis through various stages of development. The main aim is to obtain, and visually represent, bibliometric evidence of the correlation of organizational changes on the development of its scientific performance; particularly, structural and leadership…
Descriptors: Organizational Change, Performance, Bibliometrics, Correlation
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Sarsa, Sami; Leinonen, Juho; Hellas, Arto – Journal of Educational Data Mining, 2022
New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…
Descriptors: Learning Processes, Artificial Intelligence, Intelligent Tutoring Systems, Memory
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Pásztor, Attila; Magyar, Andrea; Pásztor-Kovács, Anita; Rausch, Attila – Journal of Intelligence, 2022
The aims of the study were (1) to develop a domain-general computer-based assessment tool for inductive reasoning and to empirically test the theoretical models of Klauer and Christou and Papageorgiou; and (2) to develop an online game to foster inductive reasoning through mathematical content and to investigate its effectiveness. The sample was…
Descriptors: Game Based Learning, Logical Thinking, Computer Assisted Testing, Models
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Duncan, Phyllis; Green, Mark; Gergen, Esther; Ecung, Wenonah – Administrative Issues Journal: Connecting Education, Practice, and Research, 2017
One of the newest theories to gain widespread interest is authentic leadership. Part of the rationale for developing a model and subsequent instrument to measure authentic leadership was a concern that the more popular theory, the full range model of leadership and its instrument, the Multifactor Leadership Questionnaire (MLQ) (Bass & Avolio,…
Descriptors: Emotional Intelligence, Leadership Qualities, Leadership Effectiveness, Learning Theories
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Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
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Goecke, Benjamin; Schmitz, Florian; Wilhelm, Oliver – Journal of Intelligence, 2021
Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…
Descriptors: Intelligence, Cognitive Processes, Short Term Memory, Reaction Time
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Bali-Mahomed, Nur Jannah; Ku-Johari, Ku Suhaila; Mahmud, Mohd Izwan; Amat, Salleh; Saadon, Syazwani – European Journal of Educational Research, 2022
The school counselor's role is increasingly challenging with various demands of students' problems and the issue of Coronavirus disease (COVID-19) pandemic also affect students' psychosocial and mental well-being. Therefore, school counselors need to equip themselves with high psychological well-being as a self-care factor to deal with burnout,…
Descriptors: Models, Psychological Patterns, Well Being, COVID-19
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Ehara, Yo – International Educational Data Mining Society, 2022
Language learners are underserved if there are unlearned meanings of a word that they think they have already learned. For example, "circle" as a noun is well known, whereas its use as a verb is not. For artificial-intelligence-based support systems for learning vocabulary, assessing each learner's knowledge of such atypical but common…
Descriptors: Language Tests, Vocabulary Development, Second Language Learning, Second Language Instruction
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Schweizer, Karl; Troche, Stefan – Educational and Psychological Measurement, 2018
In confirmatory factor analysis quite similar models of measurement serve the detection of the difficulty factor and the factor due to the item-position effect. The item-position effect refers to the increasing dependency among the responses to successively presented items of a test whereas the difficulty factor is ascribed to the wide range of…
Descriptors: Investigations, Difficulty Level, Factor Analysis, Models
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