Meta Science

Some of our projects are concerned with meta science -- research about research. These activities are spread across various fields. Some projects are concerned with open and transparent research practices. For example, in one project we employed a large-scale simulation study to examine the influence of p-hacking and publication bias on the distortion of meta-analytic effect size estimates (Friese & Frankenbach, 2020). A related book chapter covers the concept of p-hacking, the consequences of p-hacking for scientific progress, the prevalence and detection of p-hacking, and ways to prevent it (Reis & Friese, 2022). Finally, a collaborate project dealt with the question of how reproducible research and open science training can become the norm at research institution (Kohrs et al. (2023). 

In the field of self-regulation, two projects examined the theoretical basis (i.e., the strength model of self-control) and the empirical research on ego depletion effects (Friese, Loschelder, Gieseler, Frankenbach, & Inzlicht, 2019; Gieseler, Loschelder, & Friese, 2019). Finally, in another project, we investigated the efficacy of post-experimental debriefings to remedy the negative effects of ego threatening manipulations in research studies on participants' well-being (Miketta & Friese, 2019). Recent work analyzes how the potential of behavior change interventions to mitigate climate change can be estimated (Friese, Diel, & Thiel, unpublished).