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Mourad El Karkri; Antonio Quesada; Marta Romero-Ariza – Review of Education, 2025
Until now, the conventional approach using two distinct groups, experimental and control, continues to dominate research, especially education research. Researchers, particularly those who are active in this domain, readily recognise this pattern when surveying literature. This article explores the use of the Solomon four-group design as a…
Descriptors: Educational Research, Research Methodology, Experimental Groups, Control Groups
Bruno Arpino; Silvia Bacci; Leonardo Grilli; Raffaele Guetto; Carla Rampichini – Evaluation Review, 2025
We consider estimating the effect of a treatment on a given outcome measured on subjects tested both before and after treatment assignment in observational studies. A vast literature compares the competing approaches of modelling the post-test score conditionally on the pre-test score versus modelling the difference, namely, the gain score. Our…
Descriptors: Scores, Pretesting, Conditioning, Achievement Gains
Ibrahim Abba Mohammed; Oluwole Caleb Falode; Ibrahim Ismaila Kuta; Ahmed Bello – Education and Information Technologies, 2024
The COVID-19 pandemic kick-started a new paradigm shift in the way and manner teaching and learning takes place on the global scale due to the lockdown that succeeded in shutting down school activities. As a result, most institutions turned to technology supported e-learning as against the traditional face-to-face teaching and learning in order to…
Descriptors: Game Based Learning, Educational Technology, Academic Achievement, Achievement Tests
Verónica Pérez Bentancur; Lucía Tiscornia – Sociological Methods & Research, 2024
Experimental designs in the social sciences have received increasing attention due to their power to produce causal inferences. Nevertheless, experimental research faces limitations, including limited external validity and unrealistic treatments. We propose combining qualitative fieldwork and experimental design iteratively--moving back-and-forth…
Descriptors: Research Design, Social Science Research, Public Opinion, Punishment
Valerie Amacker; Hendrik Lohse-Bossenz; Markus Wilhelm; Dorothee Brovelli – International Journal of Science Education, 2024
The field of geometrical optics features a broad knowledge base concerning conceptual learning difficulties and student conceptions. However, in contrast to other areas of physics, no widely used standard test instrument exists to assess middle school students' conceptual knowledge of geometrical optics. This is even more true for other areas of…
Descriptors: Foreign Countries, Middle School Students, Physics, Science Instruction
Daniel Gertner; Allie Brashears; Na Xu; Holly Porter-Morgan – Journal of College Science Teaching, 2024
Gateway science courses are an ongoing obstacle to recruitment into STEM fields (Science, Technology, Engineering, and Mathematics). Students come into courses that have a high cognitive load, which makes success in the course challenging. Instructional design can be used to reduce cognitive load. The findings demonstrate that leveraging pre- and…
Descriptors: Community College Students, STEM Education, Biology, Science Instruction
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2024
Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics