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Paul T. von Hippel; Brendan A. Schuetze – Annenberg Institute for School Reform at Brown University, 2025
Researchers across many fields have called for greater attention to heterogeneity of treatment effects--shifting focus from the average effect to variation in effects between different treatments, studies, or subgroups. True heterogeneity is important, but many reports of heterogeneity have proved to be false, non-replicable, or exaggerated. In…
Descriptors: Educational Research, Replication (Evaluation), Generalizability Theory, Inferences
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Taht, Karin; Must, Olev – Educational Research and Evaluation, 2013
We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…
Descriptors: Academic Achievement, Factor Analysis, Factor Structure, Educational Attitudes
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Brunner, Martin – Learning and Individual Differences, 2008
This study investigates the relationships of domain-general cognitive abilities and domain-specific verbal and mathematical abilities to students' educational characteristics when two theoretically grounded, but competing structural models are applied. In the standard model, a single latent ability causes interindividual differences in the…
Descriptors: Educational Research, Academic Achievement, Cognitive Development, Cognitive Ability
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Roberts, Ros; Gott, Richard – Assessment in Education: Principles, Policy and Practice, 2006
Performance assessment in the UK science General Certificate of Secondary Education (GCSE) currently relies on pupil reports of their investigations. These are widely criticized. Written tests of procedural understanding could be used as an alternative, but what exactly do they measure? This paper describes small-scale research in which there was…
Descriptors: Foreign Countries, Science Education, Educational Research, Student Characteristics
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Bradley, Graham – Journal of Education and Work, 2006
Increasing numbers of full-time university students mix their studies with paid employment. The current research examined the nature, extent and correlates of paid work amongst a sample of 246 university students. Approximately 85% of the sample reported having a paid job during semester, a figure that exceeds that found in previous studies. Five…
Descriptors: Grade Point Average, Academic Achievement, Student Attitudes, College Students
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Hunt, W. Kevin; Hinkle, Dennis – Career Education Quarterly, 1978
Data from a 1974 national survey on career interests and influences of high school seniors were used to develop a theoretical vocational interest model. Results of factor analysis of one dimension ("Realistic Services") of vocational interest indicated that sex was an important predictor of interest in this vocational dimension. (MF)
Descriptors: Career Development, Critical Path Method, Educational Research, Factor Analysis
Marx, Thomas – 1973
When two groups, initially dissimilar, undergo different treatments, can subsequent differences be partitioned in such a way that the difference between the two treatments is unbiased? This is the central problem of this paper, and it is confronted by the examination of two levels of information using a Follow Through Evaluation. The first…
Descriptors: Achievement Tests, Analysis of Covariance, Analysis of Variance, Comparative Analysis