The case for formal methodology in scientific reform

Making ERP research more transparent: Guidelines for preregistration

(2021) Mariella Paul et al.   INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY

Bayesian hypothesis testing for Gaussian graphical models: Conditional independence and order constraints

(2020) Donald R. Williams et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Abandon Statistical Significance

(2019) Blakeley B. McShane et al.   AMERICAN STATISTICIAN

Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity

(2019) Berna Devezer et al.   PLoS One

Selective sampling and inductive inference: Drawing inferences based on observed and missing evidence

(2019) Brett K. Hayes et al.   COGNITIVE PSYCHOLOGY

The Value of Failure in Science: The Story of Grandmother Cells in Neuroscience

(2019) Ann-Sophie Barwich   Frontiers in Neuroscience

Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC

(2019) Brian Dennis et al.   Frontiers in Ecology and Evolution

Is Preregistration Worthwhile?

(2019) Aba Szollosi et al.   TRENDS IN COGNITIVE SCIENCES

A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments

(2018) Francesco Pauli   INTERNATIONAL STATISTICAL REVIEW

Metastudies for robust tests of theory

(2018) Beth Baribault et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Scientific progress despite irreproducibility: A seeming paradox

(2018) Richard M. Shiffrin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The preregistration revolution

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

Meta-research: Why research on research matters

(2018) John P. A. Ioannidis   PLOS BIOLOGY

Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election

(2018) Xiao-Li Meng   Annals of Applied Statistics

Replications can cause distorted belief in scientific progress

(2018) Michał Białek   BEHAVIORAL AND BRAIN SCIENCES

What have we learned? What can we learn?

(2018) Fritz Strack et al.   BEHAVIORAL AND BRAIN SCIENCES

Verifiability is a core principle of science

(2018) Sanjay Srivastava   BEHAVIORAL AND BRAIN SCIENCES

Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory.

(2017) Sean Tauber et al.   PSYCHOLOGICAL REVIEW

Measurement error and the replication crisis

(2017) Eric Loken et al.   SCIENCE

Is Most Published Research Really False?

(2017) Jeffrey T. Leek et al.   Annual Review of Statistics and Its Application

What does research reproducibility mean?

(2016) Steven N. Goodman et al.   Science Translational Medicine

Publication bias and the canonization of false facts

(2016) Silas Boye Nissen et al.   eLife

Estimating the reproducibility of psychological science

(2015)   SCIENCE

Metascience could rescue the ‘replication crisis’

(2014) Jonathan W. Schooler   NATURE

Valid post-selection inference

(2013) Richard Berk et al.   ANNALS OF STATISTICS

Bayesian just-so stories in psychology and neuroscience.

(2012) Jeffrey S. Bowers et al.   PSYCHOLOGICAL BULLETIN

Multiple Testing for Exploratory Research

(2012) Jelle J. Goeman et al.   STATISTICAL SCIENCE

Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition

(2011) Matt Jones et al.   BEHAVIORAL AND BRAIN SCIENCES

The weirdest people in the world?

(2010) Joseph Henrich et al.   BEHAVIORAL AND BRAIN SCIENCES

Repeatability of published microarray gene expression analyses

(2009) John P A Ioannidis et al.   NATURE GENETICS

Circular analysis in systems neuroscience: the dangers of double dipping

(2009) Nikolaus Kriegeskorte et al.   NATURE NEUROSCIENCE

Reproducible Research in Computational Harmonic Analysis

(2008) David L. Donoho et al.   COMPUTING IN SCIENCE & ENGINEERING