Publication Date
In 2025 | 0 |
Since 2024 | 7 |
Since 2021 (last 5 years) | 41 |
Since 2016 (last 10 years) | 132 |
Since 2006 (last 20 years) | 286 |
Descriptor
Comparative Analysis | 313 |
Correlation | 313 |
Models | 313 |
Foreign Countries | 77 |
Statistical Analysis | 75 |
Scores | 57 |
Academic Achievement | 52 |
Predictor Variables | 42 |
Prediction | 38 |
Teaching Methods | 36 |
Measures (Individuals) | 34 |
More ▼ |
Source
Author
Elliott, Stephen N. | 4 |
Nese, Joseph F. T. | 4 |
Schulte, Ann C. | 4 |
Stevens, Joseph J. | 4 |
Tindal, Gerald | 4 |
Yel, Nedim | 4 |
Amisha Jindal | 3 |
Anderson, Daniel | 3 |
Ashish Gurung | 3 |
Erin Ottmar | 3 |
Ji-Eun Lee | 3 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 3 |
Researchers | 2 |
Counselors | 1 |
Practitioners | 1 |
Students | 1 |
Location
Pennsylvania | 8 |
Germany | 7 |
Australia | 6 |
California | 6 |
Netherlands | 6 |
Florida | 5 |
United Kingdom | 5 |
United Kingdom (England) | 5 |
Canada | 4 |
Finland | 4 |
Indonesia | 4 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 2 |
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards with or without Reservations | 1 |
Does not meet standards | 2 |
Xiaowen Liu – International Journal of Testing, 2024
Differential item functioning (DIF) often arises from multiple sources. Within the context of multidimensional item response theory, this study examined DIF items with varying secondary dimensions using the three DIF methods: SIBTEST, Mantel-Haenszel, and logistic regression. The effect of the number of secondary dimensions on DIF detection rates…
Descriptors: Item Analysis, Test Items, Item Response Theory, Correlation
Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
Olanipekun, Oluwaseun L.; Zhao, JuLong; Wang, Rongdong; A. Sedory, Stephen; Singh, Sarjinder – Sociological Methods & Research, 2023
In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…
Descriptors: Correlation, Smoking, Thinking Skills, Health Behavior
Stanojevic, Miloš; Brennan, Jonathan R.; Dunagan, Donald; Steedman, Mark; Hale, John T. – Cognitive Science, 2023
To model behavioral and neural correlates of language comprehension in naturalistic environments, researchers have turned to broad-coverage tools from natural-language processing and machine learning. Where syntactic structure is explicitly modeled, prior work has relied predominantly on context-free grammars (CFGs), yet such formalisms are not…
Descriptors: Correlation, Language Processing, Brain Hemisphere Functions, Natural Language Processing
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
Grimm, Kevin J.; Helm, Jonathan; Rodgers, Danielle; O'Rourke, Holly – New Directions for Child and Adolescent Development, 2021
Developmental researchers often have research questions about cross-lag effects--the effect of one variable predicting a second variable at a subsequent time point. The cross-lag panel model (CLPM) is often fit to longitudinal panel data to examine cross-lag effects; however, its utility has recently been called into question because of its…
Descriptors: Comparative Analysis, Developmental Psychology, Prediction, Research Methodology
Rachel L. Schechter; Maddie Lee Mason; Laura Janakiefski – Online Submission, 2024
The ongoing literacy crisis in the U.S. highlights an urgent need for effective, scalable literacy instruction. REED Charitable Foundation (RCF) is a non-profit organization that provides structured literacy training informed by Orton-Gillingham, along with ongoing professional coaching and comprehensive implementation support to help all students…
Descriptors: Literacy Education, Reading Instruction, Reading Achievement, Achievement Gains
Lu, Binwei – British Journal of Educational Studies, 2023
This study compares the estimated grammar school effect in different regression models, and explains why previous evidence of the effectiveness of grammar school is mixed. Like most studies of school effectiveness evaluation, previous research on grammar school effect usually applies regression to control for confounding between-school factors and…
Descriptors: Value Added Models, School Effectiveness, Academic Achievement, Comparative Analysis
Eun Young Kang – Innovation in Language Learning and Teaching, 2024
This quasi-experimental study investigated the effect of using model texts as a written corrective feedback (WCF) strategy on second language learners' writing, in both rewritten drafts and new drafts. It further examined learners' perceptions of model-based feedback and how those perceptions affected model effectiveness. Sixty-six English…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Feedback (Response)
Lee, Do Kyeong; Cole, Whitney G.; Golenia, Laura; Adolph, Karen E. – Developmental Science, 2018
Researchers can study complex developmental phenomena with all the inherent noise and complexity or simplify behaviors to hone in on the essential aspects of a phenomenon. We used the development of walking as a model system to compare the costs and benefits of simplifying a complex, noisy behavior. Traditionally, researchers simplify infant…
Descriptors: Infants, Comparative Analysis, Correlation, Models
Mira Kim; Jemma Clifton; Anneli Strutt – Innovative Higher Education, 2024
Research has shown that English language proficiency (ELP) plays a crucial role in the psychological well-being of international students (e.g. Li et al., "Journal of International Students, "4(4), 301-313, 2014). However, few studies have reported positive correlations between their improved English skills and well-being. The present…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Doctoral Students
Kim, Jungnam; Bryan, Julia Green; Griffin, Dana; Sharma, Gitima – Journal of Multicultural Counseling and Development, 2022
We investigated the relationship between Asian parent empowerment and their children's college enrollment in a sample of 357 Asian parents from various ethnic subgroups using the High School Longitudinal Study 2009. A multinomial logistic regression indicated differences in Asian students' college enrollment by ethnic subgroup and income and in…
Descriptors: Models, Minority Group Students, Asian Americans, Stereotypes
Han, Hyemin; Dawson, Kelsie J. – Journal of Moral Education, 2022
Although some previous studies have investigated the relationship between moral foundations and moral judgment development, the methods used have not been able to fully explore the relationship. In the present study, we used Bayesian Model Averaging (BMA) in order to address the limitations in traditional regression methods that have been used…
Descriptors: Moral Values, Moral Development, Decision Making, Correlation
Toya, Teruki; Birkholz, Peter; Unoki, Masashi – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Psychoacoustical studies on transmission characteristics related to bone-conducted (BC) speech, perceived by speakers during vocalization, are important for further understanding the relationship between speech production and perception, especially auditory feedback. For exploring how the outer ear part contributes to BC speech…
Descriptors: Human Body, Speech Communication, Acoustics, Correlation