Background: We explore whether the number of null results in large National Heart Lung, and Blood Institute (NHLBI) funded trials has increased over time. Methods: We identified all large NHLBI supported RCTs between 1970 and 2012 evaluating drugs or …
Many published research results are false (Ioannidis, 2005), and controversy continues over the roles of replication and publication policy in improving the reliability of research. Addressing these problems is frustrated by the lack of a formal …
Although replications are vital to scientific progress, psychologists rarely engage in systematic replication efforts. In this article, we consider psychologists’ narrative approach to scientific publications as an underlying reason for this neglect …
Newly discovered true (non-null) associations often have inflated effects compared with the true effect sizes. I discuss here the main reasons for this inflation. First, theoretical considerations prove that when true discovery is claimed based on …
The ideal of scientific progress is that we accumulate measurements and integrate these into theory, but recent discussion of replicability issues has cast doubt on whether psychological research conforms to this model. Developmental …
Psychology is in the early stages of examining a crisis of replicability stemming from several high-profile failures to replicate studies in experimental psychology. This important conversation has largely been focused on social psychology, with some …
The scientific quality of social and personality psychology has been debated at great length in recent years. Despite research on the prevalence of Questionable Research Practices (QRPs) and the replicability of particular findings, the impact of the …
Here I outline some of what science can tell us about the problems in psychological publishing and how to best address those problems. First, the motivation behind questionable research practices is examined (the desire to get ahead or, at least, not …
Publication selection bias is a serious challenge to the integrity of all empirical sciences. We derive meta-regression approximations to reduce this bias. Our approach employs Taylor polynomial approximations tothe conditional mean of a truncated …