IDEAS home Printed from https://ideas.repec.org/p/osf/metaar/ewb2t.html
   My bibliography  Save this paper

Predicting Replication Rates with Z-Curve: A Brief Exploratory Validation Study Using the Replication Database

Author

Listed:
  • Röseler, Lukas

    (University of Bamberg)

Abstract

Concerns of replicability are widespread in the social sciences. As it is not feasible to replicate every published study, researchers have been developing methods to estimate replicability. I used the Replication Database (Röseler et al., 2023) to compare actual replication rates with replicability estimates provided by z-curve. After drawing stratified samples with actual replication rates that were uniformly distributed, z-curve’s replicability estimates had lower variance but correlated strongly with actual replicability rates, r = .933. Using a linear model, predicted replication rates deviated from actual replication rates by <±16% when samples from 322 studies (2.5 and 97.5% quantiles) were drawn. I propose that z-curve is a valid and economic method to compare replicability estimates for large sets of studies. Future studies of moderators in the context of z-curve or replicability should be tested using replication databases. The study’s code and data are available online (https://osf.io/k4d6w/).

Suggested Citation

  • Röseler, Lukas, 2023. "Predicting Replication Rates with Z-Curve: A Brief Exploratory Validation Study Using the Replication Database," MetaArXiv ewb2t, Center for Open Science.
    • Handle: RePEc:osf:metaar:ewb2t
    DOI: 10.31219/osf.io/ewb2t
    as

    Download full text from publisher

    File URL: https://osf.io/download/6529302513d27b039394c9e8/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/ewb2t?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:metaar:ewb2t. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/metaarxiv .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.