Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 6 |
| Since 2017 (last 10 years) | 20 |
| Since 2007 (last 20 years) | 110 |
Descriptor
| Gender Differences | 116 |
| Models | 116 |
| Regression (Statistics) | 97 |
| Foreign Countries | 49 |
| Correlation | 34 |
| Predictor Variables | 32 |
| Questionnaires | 27 |
| Statistical Analysis | 26 |
| Age Differences | 23 |
| Scores | 21 |
| Academic Achievement | 19 |
| More ▼ | |
Source
Author
| Conway, Katherine M. | 2 |
| Hachey, Alyse C. | 2 |
| Wladis, Claire | 2 |
| A. Brooks Bowden | 1 |
| Admiraal, Wilfried | 1 |
| Aguilar, Jade | 1 |
| Akin, Erhan | 1 |
| Akitsu, Yutaka | 1 |
| Al-Azawei, Ahmed | 1 |
| Al-Bermani, Ali | 1 |
| Albers, Eric | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Policymakers | 1 |
| Students | 1 |
Location
| Australia | 4 |
| Europe | 3 |
| Italy | 3 |
| Maryland | 3 |
| Netherlands | 3 |
| Spain | 3 |
| Sweden | 3 |
| Turkey | 3 |
| California | 2 |
| China | 2 |
| Finland | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kamdjou, Herve D. Teguim – Open Education Studies, 2023
This article revisits the Mincer earnings function and presents comparable estimates of the average monetary returns associated with an additional year of education across different regions worldwide. In contrast to the traditional Ordinary Least Squares (OLS) method commonly employed in the literature, this study applied a cutting-edge approach…
Descriptors: Outcomes of Education, Artificial Intelligence, Human Capital, Regression (Statistics)
Polat, Murat – Online Submission, 2023
This research focuses on better understanding the nature of pre-service teachers' four-frame leadership orientations. As it is known, the phenomenon of leadership still continues to be a research topic in the field of educational administration. But, these studies carried out on teachers and school administrators. As future teachers and school…
Descriptors: Preservice Teachers, Leadership Styles, Models, Gender Differences
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
Na Shan; Ping-Feng Xu – Journal of Educational and Behavioral Statistics, 2025
The detection of differential item functioning (DIF) is important in psychological and behavioral sciences. Standard DIF detection methods perform an item-by-item test iteratively, often assuming that all items except the one under investigation are DIF-free. This article proposes a Bayesian adaptive Lasso method to detect DIF in graded response…
Descriptors: Bayesian Statistics, Item Response Theory, Adolescents, Longitudinal Studies
Qiao, Xin; Jiao, Hong; He, Qiwei – Journal of Educational Measurement, 2023
Multiple group modeling is one of the methods to address the measurement noninvariance issue. Traditional studies on multiple group modeling have mainly focused on item responses. In computer-based assessments, joint modeling of response times and action counts with item responses helps estimate the latent speed and action levels in addition to…
Descriptors: Multivariate Analysis, Models, Item Response Theory, Statistical Distributions
Yanagiura, Takeshi – Community College Review, 2023
Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
Rosenqvist, Erik – Sociology of Education, 2018
Peers have a paradoxical influence on each other's educational decisions. On one hand, students are prone to conform to each other's ambitious educational decisions and, on the other hand, are discouraged from ambitious decisions when surrounded by successful peers. In this study I examine how peers influence each other's decision to apply to an…
Descriptors: Foreign Countries, Peer Influence, Secondary School Students, Achievement
Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
Lindsay, Keston; Carlsen-Landy, Bev; Boaz, Cammy; Marshall, David – International Journal of Research in Education and Science, 2017
Supplemental Instruction (SI) is a program that seeks to improve student success by targeting classes with high failure rates, as defined with a failure percentage of 30% or more. It is organized by an administrative SI supervisor who supervises SI leaders, which are students that have successfully completed the courses that they have been…
Descriptors: Predictor Variables, Academic Achievement, Supplementary Education, College Students
Banoofatemeh, Mohadeseh Sadat; Bijandi, Mohammad Sadegh; Parasteh, Fatemeh – International Education Studies, 2017
Nowadays, checking human sciences situation in valuation educational system in Iran is very important. They who educated in Iran's educational system, then tested higher education one of the most sophisticated countries, find well that one of the most important distinctions between two systems is difference of situation and human science value.…
Descriptors: Foreign Countries, High Schools, Secondary School Teachers, Questionnaires
Sublett, Cameron; Gottfried, Michael A. – Teachers College Record, 2017
Background/Context: One approach to address the shortage of STEM-proficient high school graduates has been the development of applied STEM coursework, which seeks to increase STEM interest and retention by illustrating the interconnectedness and accessibility of STEM concepts. Importantly, however, no research has yet examined which student and…
Descriptors: STEM Education, High School Students, Course Selection (Students), Parents
DiCanio, Denise; Schilling, Laura; Ferrantino, Antonio; Rodney, Gretchen Cotton; Hunter, Tanesha N.; Morote, Elsa-Sofia; Tatum, Stephanie – AASA Journal of Scholarship & Practice, 2016
A predictive model of assistant superintendents willingness to become superintendent was created using three factors: personal (age, gender, marital status, and parenthood), professional (district size, district needs, and being mentored), and volition (willingness to appear for multiple interviews, give up their current position, be interviewed…
Descriptors: Superintendents, Career Development, Predictor Variables, Models
Demir, Ergül – Educational Sciences: Theory and Practice, 2017
In this study, the aim was to construct a significant structural measurement model comparing students' affective characteristics with their mathematic achievement. According to this model, the aim was to test the measurement invariances between gender sub-groups hierarchically. This study was conducted as basic and descriptive research. Secondary…
Descriptors: Foreign Countries, Measurement, Student Characteristics, Comparative Analysis
Fuller-Iglesias, Heather R.; Antonucci, Toni – International Journal of Behavioral Development, 2016
The Convoy Model suggests that at different stages of the lifespan the makeup of the social support network varies in step with developmental and contextual needs. Cultural norms may shape the makeup of social convoys as well as denote socio-demographic differences in social support. This study examines the social convoys of adults in Mexico.…
Descriptors: Foreign Countries, Social Support Groups, Adults, Social Networks

Peer reviewed
Direct link
