Against the "one method fits all data sets" philosophy for comparison studies in methodological research.

Area of Science:

• Methodological research
• Comparative studies
• Statistical analysis

Background:

• Methodological comparison studies often seek a single
• best performing
• method across diverse datasets.
• This approach may oversimplify complex research landscapes and limit nuanced understanding.

Purpose of the Study:

• To critically evaluate the prevalent research question of identifying the single best performing method.
• To propose and advocate for a more informative and appropriate research question in methodological studies.
• To outline how this alternative research question can be effectively investigated.

Main Methods:

• Conceptual analysis of existing research questions in methodological comparison studies.
• Argumentation for the limitations of the "best performing" method paradigm.
• Proposal of an alternative research framework and investigation strategy.

Main Results:

• The current focus on identifying the "best performing" method is based on potentially unwarranted assumptions.
• A shift towards a different research question offers greater insight into methodological performance.
• The proposed alternative research question can be productively explored.

Conclusions:

• Rethinking the primary research question in methodological studies is crucial for advancing the field.
• A more nuanced approach to comparing methods yields more valuable and applicable insights.
• Future methodological research should prioritize questions that foster deeper understanding over simple rankings.