Preregistration

 

Paths in strange spaces: A comment on preregistration

This is an archived version of a blog post on preregistration. The first half of the post argues that there is not a strong justification for preregistration as a tool to solve problems with statistical inference (p-hacking); the second half argues …

Preregistration, Replication, and Nonexperimental Studies

In last month’s column, I worried about whether encouraging us to preregister our hypotheses and analysis plan before running studies would stifle discovery. I came to the conclusion that it needn’t — but that we need to guard against letting the …

Why Preregistration Makes Me Nervous

I must admit that when I first heard of the effort to get psychological scientists to preregister their studies (that is, to submit to a journal a study’s hypotheses and a plan for how the data will be analyzed before that study has been run), I had …

On Not Confusing the Tree of Trustworthy Statistics with the Greater Forest of Good Science: A Comment on Simmons et al.’s Perspective on Pre-registration

In this commentary on Simmons, Nelson, and Simonsohn (this issue), we examine their rationale for pre-registration within the broader perspective of what good science is. We agree that there is potential benefit in a system of pre-registration if …

Preregistration Is Hard, And Worthwhile

Preregistration clarifies the distinction between planned and unplanned research by reducing unnoticed flexibility. This improves credibility of findings and calibration of uncertainty. However, making decisions before conducting analyses requires …

Preregistration Is Neither Sufficient nor Necessary for Good Science

To address widespread perceptions of a reproducibility crisis in the social sciences, a growing number of scholars recommend the systematic preregistration of empirical studies. The purpose of this article is to contribute to an epistemological …

Reducing bias, increasing transparency and calibrating confidence with preregistration

Flexibility in the design, analysis and interpretation of scientific studies creates a multiplicity of possible research outcomes. Scientists are granted considerable latitude to selectively use and report the hypotheses, variables and analyses that …

Sample Size Justification Shiny App

This Shiny app accompanies the paper 'Sample Size Justification' by Daniël Lakens. You can download the pre-print of this article at PsyArXiV and any sections in this online form that are unclear are explained in the paper. You can help to improve …

A primer for choosing, designing and evaluating registered reports for qualitative methods

Registered reports are a publication format that involves peer reviewing studies both before and after carrying out research procedures. Although registered reports were originally developed to combat challenges in quantitative and confirmatory study …

Introduction to Open Science principles and practices (in Health Economics)

This series of lecture slides were used during the "Advanced Simulation for Health Economic Analysis" course at the University of Twente, which took place in February - May 2023. The following Open Science topics were introduced to the course …
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