Genetics and neuroscience are two areas of science that pose particular methodological problems because they involve detecting weak signals (i.e., small effects) in noisy data. In recent years, increasing numbers of studies have attempted to bridge …
Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from …
Research-data availability contributes to the transparency of the research process and the credibility of educational-psychology research and science in general. Recently, there have been many initiatives to increase the availability and quality of …
A combination of confirmation bias, hindsight bias, and pressure to publish may prompt the (unconscious) exploration of various methodological options and reporting only the ones that lead to a (statistically) significant outcome. This undisclosed …
2020 was a year of big changes for the whole world. For the academic community, it was not different. The need to rapidly switch from in-person to online teaching represented a big challenge for most educators. However, with new challenges come also …
The vast majority of health-related observational studies are not prospectively registered and the advantages of registration have not been fully appreciated. Nonetheless, international standards require approval of study protocols by an independent …
This guidebook aims to give an overview of the challenges associated with making qualitative data reusable as well as providing guidance on how reusability can be improved and addressed at all stages of the research data life cycle.
The guide …
Many philosophers of science and methodologists have argued that the ability to repeat studies and obtain similar results is an essential component of science. A finding is elevated from single observation to scientific evidence when the procedures …
Academic institutions have made significant investments to support public access to research data requirements, yet little to no data about these services, infrastructure, and costs currently exist or are widely shared. For public access to research …
Science journalists are uniquely positioned to increase the societal impact of open science by contextualizing and communicating research findings in ways that highlight their relevance and implications for non-specialist audiences. Through …