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SPSP Experts: Open Science

What is open science? What are its benefits? What practices contribute to it? 

This series*, featuring active advocates in the field, serves as an introduction to major topics within the area of open science. 

Open Science
Preregistration and Registered Reports
Power Analysis and Sample Size Decisions

Data Sharing and Open Data

*Created in collaboration with the Society for the Improvement of Psychological Science and the Open Science Framework.
The views and opinions expressed in these videos do not necessarily reflect those held by the Society for Personality and Social Psychology.

Open Science   Preregistration and Registered Reports

Dr. Simine Vazire
Associate Professor of Psychology
UC Davis


Dr. Daniel J. Simons
Professor of Psychology
University of Illinois at Urbana-Champaign

• What is "open science?"
• Why is open science beneficial?
• What are the obstacles to open science that researchers face?


• What does it mean to preregister a study?
• What problems are preregistration designed to solve?
• Does preregistration limit exploration and creativity?


Power Analysis and Sample Size Decisions   Replications

Dr. Daniël Lakens
Professor of Psychology
Eindhoven University of Technology


Dr. Katherine S. Corker
Assistant Professor of Psychology
Grand State University

• What is "power?"
• Why is it important to consider power and sample size before designing at study?
• What effect does a lack of consideration of power and sample size have on knowledge of the field?


• What is a replication study?
• Why are replications important?
• How do replications benefit science?


Data Sharing and Open Data

Michèle B. Nuijten
Doctoral Student
Tilburg University



• What do you mean when you talk about data sharing and open data?
• What problems are data sharing designed to solve and how big of a problem are they?
• What obstacles are there to data sharing and are there solutions?