NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 25 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Stela-Marina Kostaki; Michalis Linardakis – Education and Information Technologies, 2025
The current study explores the preferences of primary school teachers on the characteristics of Information and Communication Technologies (ICT)-based teaching via Discrete Choice Models (DCM). These models analyze the preferences of teachers towards alternatives that are formed by different characteristics. In this study we examined the…
Descriptors: Elementary School Teachers, Teacher Attitudes, Preferences, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Mehrazmay, Roghayeh; Ghonsooly, Behzad; de la Torre, Jimmy – Applied Measurement in Education, 2021
The present study aims to examine gender differential item functioning (DIF) in the reading comprehension section of a high stakes test using cognitive diagnosis models. Based on the multiple-group generalized deterministic, noisy "and" gate (MG G-DINA) model, the Wald test and likelihood ratio test are used to detect DIF. The flagged…
Descriptors: Test Bias, College Entrance Examinations, Gender Differences, Reading Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, HyeSun; Geisinger, Kurt F. – International Journal of Testing, 2014
Differential item functioning (DIF) analysis is important in terms of test fairness. While DIF analyses have mainly been conducted with manifest grouping variables, such as gender or race/ethnicity, it has been recently claimed that not only the grouping variables but also contextual variables pertaining to examinees should be considered in DIF…
Descriptors: Test Bias, Gender Differences, Regression (Statistics), Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Savage, Hallie; Raehsler, Rod D.; Fiedor, Joseph – Journal of the National Collegiate Honors Council, 2014
One of the most important issues in any educational environment is identifying factors that promote academic success. A plethora of research on such factors exists across most academic fields, involving a wide range of student demographics, and the definition of student success varies across the range of studies published. The analysis in this…
Descriptors: Honors Curriculum, Performance Factors, Graduation Rate, Regression (Statistics)
Peer reviewed Peer reviewed
Direct linkDirect link
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Avitabile, Ciro; de Hoyos, Rafael – World Bank, 2015
A randomized control trial was conducted to study whether providing 10th grade students with information about the returns to upper secondary and tertiary education, and a source of financial aid for tertiary education, can contribute to improve student performance. The study finds that the intervention had no effects on the probability of taking…
Descriptors: Foreign Countries, High School Students, Grade 10, Randomized Controlled Trials
Peer reviewed Peer reviewed
Direct linkDirect link
Ong, Yoke Mooi; Williams, Julian; Lamprianou, Iasonas – International Journal of Testing, 2015
The purpose of this article is to explore crossing differential item functioning (DIF) in a test drawn from a national examination of mathematics for 11-year-old pupils in England. An empirical dataset was analyzed to explore DIF by gender in a mathematics assessment. A two-step process involving the logistic regression (LR) procedure for…
Descriptors: Mathematics Tests, Gender Differences, Test Bias, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Denies, Katrijn; Janssen, Rianne – Language Assessment Quarterly, 2016
This study discusses the self-assessments of over 22,500 students on a set of 12 can-do statements that are taken from the Common European Framework of Reference (CEFR). The students' endorsement or negation of the statements reflects their sense of self-efficacy in English reading, writing, and listening. Their self-efficacy beliefs are compared…
Descriptors: Gender Differences, English (Second Language), Second Language Learning, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Sciulli, Dario; Signorelli, Marcello – European Journal of Higher Education, 2011
The article investigates the transitions of graduates of a middle-sized Italian university into the provincial labour market. University of Perugia administrative information and data from the job centres in the province are matched to reconstruct the timing of the university-to-work transitions of graduates since January 2004 to July 2009. Cox…
Descriptors: Foreign Countries, Education Work Relationship, College Graduates, Labor Market
White, K. Geoffrey; Wixted, John T. – Journal of the Experimental Analysis of Behavior, 2010
Delayed matching to sample is typically a two-alternative forced-choice procedure with two sample stimuli. In this task the effects of varying the probability of reinforcers for correct choices and the resulting receiver operating characteristic are symmetrical. A version of the task where a sample is present on some trials and absent on others is…
Descriptors: Response Style (Tests), Psychology, Probability, Gender Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Vaughan, Christine A.; Halpern, Carolyn T. – Journal of Research on Adolescence, 2010
A theoretical model of gender differences in depressive symptoms during adolescence was evaluated using data from Waves I and II of the National Longitudinal Study of Adolescent Health. The theoretical model under examination was primarily informed by the gender-additive model of gender differences in depressive symptoms during adolescence…
Descriptors: Body Weight, Body Composition, Mediation Theory, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Nelson-Field, Karen; Goodman, Steven – Higher Education Review, 2011
This study evaluates the relationship between student counselling intervention and university persistence. We find that students deemed high-risk can directly benefit from student counselling intervention thus reducing their propensity to withdraw. We find that the characteristics of students who are at greatest risk of withdrawal include both…
Descriptors: Intervention, Probability, Student Attrition, Risk
Previous Page | Next Page ยป
Pages: 1  |  2