Social scientists have increasingly turned to the experimental method to understand human
behaviour. One critical issue that makes solving social problems difficult is scaling up the …

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 …

Preregistration is regarded as an important contributor to research credibility. We investigate
this by analyzing the pattern of test statistics from the universe of randomized controlled trial …

We investigate the potential for Large Language Models (LLMs) to enhance scientific
practice within experimentation by identifying key areas, directions, and implications. First …

Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-
registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility …

Tipping points can occur in many complex environmental systems and often produce abrupt
and irreversible change. Thresholds associated with tipping points are difficult to predict in …

As behavioural science is increasingly adopted by organizations, there is a growing need to
assess the robustness and transferability of empirical findings. Here, we investigate the …

This paper provides a framework for testing multiple null hypotheses simultaneously using
experimental data in which simple random sampling is used to assign treatment status to …

'Sociological Science'highlights that sociology is a science (see the chapter by Raub, De
Graaf & Gërxhani on rigorous sociology in this Handbook). So, the question arises: what are …

The goal of creating evidence-based programs is to scale them at sufficient breadth to
support population-level improvements in critical outcomes. However, this promise is …