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VALID: A Checklist-Based Approach for Improving Validity in Psychological Research

  • Susanne Kerschbaumer
  • , Martin Voracek
  • , Balazs Aczél
  • , Samantha F. Anderson
  • , Brandon M. Booth
  • , Erin M. Buchanan
  • , Rickard Carlsson
  • , Daniel W. Heck
  • , Anu Pauliina Hiekkaranta
  • , Rink Hoekstra
  • , Julian D. Karch
  • , Ginette Lafit
  • , Zhicheng Lin
  • , Siwei Liu
  • , David P. MacKinnon
  • , Emma L. McGorray
  • , David Moreau
  • , Marietta Papadatou-Pastou
  • , Helena Paterson
  • , Robert A. Perera
  • Daniel J. Schad, David K. Sewell, Moin Syed, Louis Tay, Jorge N. Tendeiro, Michael D. Toland, Wolf Vanpaemel, Don van Ravenzwaaij, Lieke Voncken, Ulrich S. Tran

Publications: Contribution to journal › Article › Peer Reviewed

Abstract

In response to the replication and confidence crisis across various empirical disciplines, ensuring the validity of research has gained attention. High validity is crucial for obtaining replicable and robust study outcomes when both exploring new questions and replicating previous findings. In this study, we aimed to address this issue by developing a comprehensive checklist to assist researchers in enhancing and monitoring the validity of their research. After systematically analyzing previous findings on validity, a comprehensive list of potential checklist items was compiled. Over the course of three rounds, more than 30 interdisciplinary and psychological-science experts participated in a Delphi study. Experts rated items on their importance and were given the opportunity to propose novel items as well as improve existing ones. This process resulted in a final set of 91 items, organized according to common stages of a research project. The VALID checklist is accessible online (https://www.validchecklist.com/) and provides researchers with an adaptable, versatile tool to monitor and improve the validity of their research and to suit their specific needs. By focusing on adaptiveness during its development, VALID encompasses 331 unique checklist versions, making it a one-stop solution suitable for a wide range of projects, designs, and requirements.

Original languageEnglish
JournalAdvances in Methods and Practices in Psychological Science
Volume8
Issue number1
DOIs
Publication statusPublished - 1 Jan 2025

Austrian Fields of Science 2012

  • 101018 Statistics

Keywords

  • Delphi study
  • method reform
  • open data
  • open materials
  • open practices
  • preregistered
  • study quality appraisal
  • tailored online checklist
  • validity

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