Recent years have marked a renaissance in efforts to increase research reproducibility in
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …

A typical empirical study involves choosing a sample, a research design, and an analysis
path. Variation in such choices across studies leads to heterogeneity in results that introduce …

Scientific research demands robust findings, yet variability in results persists due to
researchers' decisions in data analysis. Despite strict adherence to state‐of the‐art …

Although variation in effect sizes and predicted values among studies of similar phenomena
is inevitable, such variation far exceeds what might be produced by sampling error alone …

The COVID-19 pandemic has affected all domains of human life, including the economic
and social fabric of societies. One of the central strategies for managing public health …

Data analysis is challenging as analysts must navigate nuanced decisions that may yield
divergent conclusions. AI assistants have the potential to support analysts in planning their …

The relation between religiosity and well-being is one of the most researched topics in the
psychology of religion, yet the directionality and robustness of the effect remains debated …

Conversation—a verbal interaction between two or more people—is a complex, pervasive,
and consequential human behavior. Conversations have been studied across many …

Quantitative research relies on measurement and inference procedures that are relatively
independent of the researcher's interpretations, which has given it a reputation as an …

The field of animal science, and especially animal nutrition, relies heavily on modeling to
accomplish its day-to-day objectives. New data streams (“big data”) and the exponential …