Getting started with open science and knowing where to go. This webinar will introduce participants to major practices in open science and then dive into the resources available to learn how to use these in your own work.
Because scientists tend to report only studies (publication bias) or analyses (p-hacking) that “work,” readers must ask, “Are these effects true, or do they merely reflect selective reporting?” We introduce p-curve as a way to answer this question. …
What's wrong with the social sciences? In this episode, Massimo and Julia are joined by Professor Daniel Lakens from the Eindhoven University of Technology, who studies psychology and blogs about research methods and open science. The three discuss …
Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how …
A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the …
Concerns have been raised recently about the replicability of behavioral priming effects, and calls have been issued to identify priming methodologies with effects that can be obtained in any context and with any population. I argue that such …
The idea that birth-order position has a lasting impact on personality has been discussed for the past 100 years. Recent large-scale studies have indicated that birth-order effects on the Big Five personality traits are negligible. In the current …
Background. The p-curve is a plot of the distribution of p-values reported in a set of scientific studies. Comparisons between ranges of p-values have been used to evaluate fields of research in terms of the extent to which studies have genuine …