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On the scope of scientific hypotheses
William Hedley Thompson1,2, Simon Skau3,4
1Department of Applied Information Technology, University of Gothenburg, Gothenburg, Sweden.
Formulating scientific hypotheses involves defining their scope across relationships, variables, and pipelines. Narrowing hypothesis scope enhances novelty and guides research, preventing overly broad or narrow investigations.
Area of Science:
- Metascience
- Scientific Methodology
- Research Design
Background:
- Hypotheses are foundational to the empirical scientific process, guiding data collection and analysis.
- Metascience emphasizes preregistration of hypotheses, but their formulation lacks detailed guidance.
- Current practices offer limited frameworks for constructing specific and testable scientific hypotheses.
Purpose of the Study:
- To propose a framework for formulating scientific hypotheses based on their scope.
- To define three independent dimensions of hypothesis scope: relationship, variables, and pipeline.
- To demonstrate how controlling hypothesis scope enhances novelty and guides research direction.
Main Methods:
- Conceptual analysis of hypothesis formulation in scientific research.
- Development of a multi-dimensional framework for assessing hypothesis scope.
- Exploration of the relationship between hypothesis scope and research novelty.
Main Results:
- Hypotheses vary in specificity along three dimensions: relationship, variables, and pipeline.
- Narrowing the scope in any dimension reduces the hypothesis space, increasing novelty.
- A balanced scope (neither too broad nor too narrow) is crucial for effective hypothesis testing.
Conclusions:
- The proposed framework clarifies hypothesis formulation by defining scope.
- This approach aids researchers in clearly articulating what is being tested.
- It facilitates linking new findings to existing knowledge and demarcating explicit tests.
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