Questionable research practices may have little effect on replicability

Low replicability can support robust and efficient science

(2020) Stephan Lewandowsky et al.   Nature Communications

The quest for an optimal alpha

(2019) Jeff Miller et al.   PLoS One

The preregistration revolution

(2018) Brian A. Nosek et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

What meta-analyses reveal about the replicability of psychological research.

(2018) T. D. Stanley et al.   PSYCHOLOGICAL BULLETIN

Scientific Misconduct

(2016) Charles Gross   Annual Review of Psychology

On the Reproducibility of Psychological Science

(2016) Valen E. Johnson et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

Publication bias and the canonization of false facts

(2016) Silas Boye Nissen et al.   eLife

A Bayesian Perspective on the Reproducibility Project: Psychology

(2016) Alexander Etz et al.   PLoS One

Statistics: P values are just the tip of the iceberg

(2015) Jeffrey T. Leek et al.   NATURE

Using prediction markets to estimate the reproducibility of scientific research

(2015) Anna Dreber et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Estimating the reproducibility of psychological science

(2015)   SCIENCE

Promoting an open research culture

(2015) B. A. Nosek et al.   SCIENCE

The N-Pact Factor: Evaluating the Quality of Empirical Journals with Respect to Sample Size and Statistical Power

(2014) R. Chris Fraley et al.   PLoS One

Excess Success for Psychology Articles in the Journal Science

(2014) Gregory Francis et al.   PLoS One

An open investigation of the reproducibility of cancer biology research

(2014) Timothy M Errington et al.   eLife

Power failure: why small sample size undermines the reliability of neuroscience

(2013) Katherine S. Button et al.   NATURE REVIEWS NEUROSCIENCE

Raise standards for preclinical cancer research

(2012) C. Glenn Begley et al.   NATURE

Believe it or not: how much can we rely on published data on potential drug targets?

(2011) Florian Prinz et al.   NATURE REVIEWS DRUG DISCOVERY

How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data

(2009) Daniele Fanelli   PLoS One