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Jeff Coon; Paulina N. Silva; Alexander Etz; Barbara W. Sarnecka – Journal of Cognition and Development, 2025
Bayesian methods offer many advantages when applied to psychological research, yet they may seem esoteric to researchers who are accustomed to traditional methods. This paper aims to lower the barrier of entry for developmental psychologists who are interested in using Bayesian methods. We provide worked examples of how to analyze common study…
Descriptors: Developmental Psychology, Bayesian Statistics, Research Methodology, Psychological Studies
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Göran Lövestam; Susanne Bremer-Hoffmann; Koen Jonkers; Pieter van Nes – Research Ethics, 2025
The Joint Research Centre (JRC) is the European Commission's in-house science and knowledge service, employing a substantial staff of scientists devoted to conducting research to provide independent scientific advice for EU policy. Focussed on various research areas aligned with EU priorities, the JRC excels in delivering scientific evidence for…
Descriptors: Integrity, Ethics, Scientific Research, Scientists
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David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Seda Sakar; Sema Tan – Gifted Child Quarterly, 2025
Many articles have been published in gifted education in recent years. This study aims to provide a comprehensive review of the evolution of academic studies in gifted education. In this context, the structural topic modeling (STM) method was used to analyze the topics and trends in the field. STM is a machine learning technique that utilizes…
Descriptors: Gifted Education, Educational Trends, Educational Research, Research Methodology