About this resource

    Type of resources
    Reading
    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

    Preregistration of Analyses of Preexisting Data

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

    Abstract

    The preregistration of a study’s hypotheses, methods, and data-analyses steps is becoming a popular psychological research practice. To date, most of the discussion on study preregistration has focused on the preregistration of studies that include the collection of original data. However, much of the research in psychology relies on the (re-)analysis of preexisting data. Importantly, this type of studies is different from original studies as researchers cannot change major aspects of the study (e.g., experimental manipulations, sample size). Here, we provide arguments as to why it is useful to preregister analyses of preexisting data, discuss practical considerations, consider potential concerns, and introduce a preregistration template tailored for studies focused on the analyses of preexisting data. We argue that the preregistration of hypotheses and data-analyses for analyses of preexisting data is an important step towards more transparent psychological research.

    Keywords Replicability · Transparency · Archival Data · Preregistration