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Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
Published on: August 4, 2023
Replication and trustworthiness.
1Philosophy Departmentand Faculty of Religion and Theology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
This study clarifies the link between research replication and trustworthiness. Successful replication enhances trustworthiness, which depends on evidential and stake considerations, alongside prior probability and study quality.
Area of Science:
- Philosophy of Science
- Research Methodology
- Scientific Integrity
Background:
- Defining key terms like trust, trustworthiness, replicability, and replication study is crucial.
- Understanding the nuances of different replication types (reproductions, direct, conceptual) is essential for assessing research reliability.
Purpose of the Study:
- To explore the multifaceted relationship between research replication and trustworthiness.
- To analyze how different types of replication and the intentionality behind them influence the trustworthiness of findings.
- To determine whether trustworthiness relies solely on evidence or also on the stakes involved.
Main Methods:
- Conceptual analysis and definition of core terms related to trust and replication.
- Examination of the relationship between trustworthiness and three main kinds of replication: reproductions, direct replications, and conceptual replications.
- Discussion on the role of intentionality and 'what is at stake' in assessing research trustworthiness.
Main Results:
- Trustworthiness is intricately linked to the success and type of replication.
- The intentionality of a replication study can impact its perceived trustworthiness.
- Research trustworthiness is influenced by both evidential considerations and the potential consequences (stakes) of the findings.
Conclusions:
- Replication is a critical factor in establishing research trustworthiness.
- A comprehensive assessment of trustworthiness should integrate findings from replication studies, prior probabilities, study quality, and the stakes involved.
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