There are many things to take care of in empirical research. The research design, programming the experiment, piloting, gathering a decent pool of participants, giving them clear instructions, handling complex technical equipment, analysing the data, communicating the findings… Every step of the way, a researcher can make this process run more or less smoothly. But … [Read more…]
It was when Kate Button started her PhD, that she began to appreciate the disconnect between the methods teaching she had prior to the PhD, and the knowledge she needed for actual research. Her early statistics lessons were more about determining which line to read in the SPSS output than about the inferential process. Little … [Read more…]
Say that you are new to research. You’ve read all the textbooks, passed all your exams, and are now beginning to perform empirical investigations. Everyone who has stepped into the lab like this is familiar with the explosion of new elements to master, things that seemed straightforward until you sat down to do them yourself. … [Read more…]
They ride in at dawn while the world quietly slumbers, cocooned in innocence, unsuspecting of the storm that is already under way. Immensely powerful, they gallop in bringing chaos. They are the four horsemen of the reproducibility apocalypse: HARKing, low power, p-hacking and publication bias. Who will resist and who will succumb? Who will be … [Read more…]
Here is an opportunity to view a series of timely talks on reproducibility, online. This September we held the Oxford Reproducibility School, a meeting aimed at discussing current problems in empirical science as well as best research practices. Spurred into action by Kia Nobre, organized by Dorothy Bishop, side-kicked by Caroline Nettekoven, Verena Heise and … [Read more…]