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How to introduce your students to the gamut of software that can support their research projects

Gilad Feldman is Assistant Professor at the Department of Psychology at the University of Hong Kong (HKU). His research focuses on judgement and decision making and he strongly supports the Open Science movement at all levels - from his teaching …

Scholars assert that pre-analysis plans (PAPs) generate boring, lab-report style papers and thus hamper publication. We test this claim by comparing the publication rates of experimental NBER working papers with and without PAPs. We find that …

Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility of findings. We investigate whether these tools reduce the extent of …

Preregistration entails researchers registering their planned research hypotheses, methods, and analyses in a time-stamped document before they undertake their data collection and analyses. This document is then made available with the published …

A syllabus about economics and statistics

Recently, there has been a growing emphasis on embedding open and reproducible approaches into research. One essential step in accomplishing this larger goal is to embed such practices into undergraduate and postgraduate research training. However, …

Scientists, being human, make mistakes. We transcribe things incorrectly, we make errors in our code, and we intend to do things and then forget. The consequences of errors in research may be as minor as wasted time and annoyance, but may be as …

Since its beginnings in the 1940s, automated reasoning by computers has become a tool of ever growing importance in scientific research.So far, the rules underlying automated reasoning have mainly beenformulated by humans, in the form of program …

This book is not a how-to-do-it manual, so much as a why-to-do-it. Our main goal is to instill in the reader awareness of the numerous sources of bias that can lead to mistaken conclusions when evaluating interventions. Real-life examples are …