Flexibility in the design, analysis and interpretation of scientific studies creates a multiplicity
of possible research outcomes. Scientists are granted considerable latitude to selectively …

Since the 18th century, the p value has been an important part of hypothesis-based scientific
investigation. As statistical and data science engines accelerate, questions emerge: to what …

Publication bias is a ubiquitous threat to the validity of meta‐analysis and the accumulation
of scientific evidence. In order to estimate and counteract the impact of publication bias …

Background Clinical prediction models are widely used in health and medical research. The
area under the receiver operating characteristic curve (AUC) is a frequently used estimate to …

In the January 2022 issue of Perspectives, Götz et al. argued that small effects are “the
indispensable foundation for a cumulative psychological science.” They supported their …

Enhanced expectancies and autonomy-support through self-controlled practice conditions
form the motivation pillar of OPTIMAL theory [Wulf, G., & Lewthwaite, R.(2016). Optimizing …

Traditional metric indicators of scientific productivity (eg, journal impact factor; h-index) have
been heavily criticized for being invalid and fueling a culture that focuses on the quantity …

During the past few years, researchers have criticized their professions for providing an
entry point for false-positive results arising from publication bias and questionable research …

As the practice of preregistration becomes more common, researchers need guidance in
how to report deviations from their preregistered statistical analysis plan. A principled …

It has often been reported that mental exertion, presumably leading to mental fatigue, can
negatively affect exercise performance; however, recent findings have questioned the …