About this resource

    Type of resources
    Student Guide
    Education level(s)
    College / Upper Division (Undergraduates), Graduate / Professional, Career / Technical, Adult Education
    Primary user(s)
    Student, Teacher
    Subject area(s)
    Applied Science, Arts and Humanities, Business and Communication, Career and Technical Education, Education, English Language Arts, History, Law, Life Science, Math & Statistics, Physical Science, Social Science
    Language(s)
    English
    Cluster
    Pre-analysis Planning
    Last updated
    9 November 2026

    Challenges and opportunities in preregistration of coordinated data analysis: A tutorial and template

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    Level College / Upper Division (Undergraduates), Graduate / Professional, Career / Technical, Adult Education · For Student, Teacher · Language English

    Abstract

    The credibility revolution in social science has led to the recommendation and adoption of practices to increase the replicability of scientific findings. Many of the recommended practices, such as replication and preregistration, present unique challenges for aging research given its reliance on long-term longitudinal data. In this tutorial, we propose preregistered coordinated data analysis as a promising approach that involves both replication and preregistration, but that overcomes the aforementioned challenges by using existing data. We discuss the benefits of preregistering coordinated data analysis and provide an add-on template to be used in conjunction with existing preregistration templates for preregistering coordinated data analysis.

    Keywords Preregistration · Replicability · Template