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METHODS article

Front. Psychol.

Sec. Quantitative Psychology and Measurement

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1549767

This article is part of the Research Topic Promoting Replicability: Empowering Method and Applied Researchers in Driving Reliable Results View all articles

Proposal of an alternative way of reporting the results of comparative simulation studies

Provisionally accepted
  • 1 University of Oviedo, Oviedo, Spain
  • 2 University of Santiago, Santiago, Metropolitan Region, Chile

The final, formatted version of the article will be published soon.

    Monte Carlo simulation studies allow testing multiple experimental conditions, whose results are often difficult to communicate and visualize to their full extent. Some researchers have proposed alternatives to solve this aspect address this issue, highlighting its relevance. This article develops a new way of observing, analyzing, and presenting the results of simulation experiments and is explained step by step with an example. Methods: A criterion is proposed to decide which results could be averaged and which results should not be averaged. It is also indicated how to construct Traceability tables. These tables will show the behavior of the different analytical approaches studied under the chosen conditions and their variability under the averaged conditions. A way of observing the influence of the manipulated variables on the performance of the set of analysis approaches studied is also developed, Variability Set. Finally, a way of exposing the procedures that have the best performance in a particular condition is suggested. Results and discussion: This Analysis Plan for reporting the results of simulation studies provides more information than existing alternative procedures, provides valuable information for method researchers, and specifies to applied researchers which statistic they should use in a particular condition. An R Shiny application is provided. Article type: Methods article

    Keywords: Monte Carlo Simulation Studies, Analysis plan, Results Tables vs Traceability Tables, Variability set, Demo Example, Repeated Measures Design results, linear mixed model, Information criteria

    Received: 21 Dec 2024; Accepted: 26 Feb 2025.

    Copyright: © 2025 García, Guillermo, Livacic-Rojas and Diez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: María Paula Fernández García, University of Oviedo, Oviedo, Spain

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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