Detecting potential data fabrication in the social sciences
Data fabrication and other forms of research misconduct present major threats to the validity of empirical findings and to the trust in science. The goal of the proposed research is to develop methods for the examination of signs of potential data fabrication using statistical tools. In four projects we (i) review statistical tools, (ii) do empirical research on data fabrication, (iii) develop and apply software on a large scale to detect signs of data fabrication in published results, and (iv) validate the tools and software. The projects’ results will advance future detection of misconduct and increase trust in science.
prof. dr. J.K. Vermunt, prof. dr. J.M. Wicherts, dr. M.A.L.M. van Assen
1 September 2014 – 1 September 2018