Previous work suggests that key factors for replicability, a necessary feature for theory
building, include statistical power and appropriate research planning. These factors are …

Although research on children's trust in social robots is increasingly growing in popularity, a
systematic understanding of the factors which influence children's trust in robots is lacking. In …

We propose sensitivity analyses for publication bias in meta-analyses. We consider a
publication process such that 'statistically significant'results are more likely to be published …

Significance Functional near-infrared spectroscopy (fNIRS) is a frequently used
neuroimaging tool to explore the develo** brain, particularly in infancy, with studies …

Selective publication and reporting in individual papers compromise the scientific record, but
are meta‐analyses as compromised as their constituent studies? We systematically sampled …

Everyone agrees that infants possess general mechanisms for learning about the world, but
the existence and operation of more specialized mechanisms is controversial. One …

Significance Concerns about the reproducibility of experimental findings have recently
emerged in many disciplines, from psychology to medicine and neuroscience. As NIRS is a …

Theories of language acquisition and perceptual learning increasingly rely on statistical
learning mechanisms. The current meta-analysis aims to clarify the robustness of this …

In some fields, research findings are rigorously curated in a common language and made
available to enable future use and large-scale, robust insights. Organizational researchers …

Computational models of child language development can help us understand the cognitive
underpinnings of the language learning process, which occurs along several linguistic …