Preregistration makes your science better by increasing the credibility of your results.

Transparency and independent replication are core values of science. However, scientists must publish, which is more likely with positive and tidy results, even at the expense of transparent, reproducible research. What is good for science and what is good for scientists are not always the same. Preregistration adds credibility to results by documenting in advance what will be tested. If you have a project that is entering the data collection phase, we're giving away $1,000 to 1,000 researchers who preregister before they publish.

Find eligible journals, templates, and guides on this resources page

What is Preregistration?

Preregistration separates hypothesis testing (confirmatory) from hypothesis generating (exploratory) research. Both are important. However, the same data cannot be used to generate and test a hypothesis, which often happens unintentionally. With preregistration, confirmatory analyses are planned in advance in order to retain the validity of their statistical inferences, and exploratory analyses are reported as post hoc investigations that might inspire confirmatory tests in future studies. 

Hypothesis testing Hypothesis generating
Statistical tests are specified in advance Exploring through data is encouraged
Goal is to minimize false discoveries Goal is to avoid missing serendipitous findings

When Should You Preregister?

  • Right before your next round of data collection
  • After you are asked to collect more data in peer review
  • Before you begin analysis of an existing data set

Why Preregister?

  1. Makes your science better by increasing the credibility of your results
  2. Allows you to stake your claim to your ideas earlier
  3. It’s easy and you can win a $1,000 prize for publishing the results of your preregistered research.