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Methodology going astray in population biology.
1ALTERRA, Wageningen, The Netherlands. rhengeveld@wish.net
Acta Biotheoretica
|July 20, 2002
Summary
Population biology research often confuses hypothesis generation with hypothesis testing. This leads to statistical null models being incorrectly treated as causal theories.
Area of Science:
- Ecology and Evolutionary Biology
- Theoretical Biology
- Philosophy of Science
Background:
- Population biology research involves distinct phases: exploratory (hypothesis-generating) and confirmatory (hypothesis-testing).
- A common issue in the field is the blurring of these two research phases.
- This confusion can impede the rigorous development and testing of biological theories.
Purpose of the Study:
- To analyze the methodological structure of population-biological theorizing.
- To identify and explain the confusion between hypothesis-generating and hypothesis-testing research in population biology.
- To examine the implications of this confusion, particularly regarding the use of statistical null models.
Main Methods:
- Methodological analysis of population-biological theorizing.
- Examination of research practices and common student interpretations.
- Critique of statistical null-model application within the exploratory phase.
Main Results:
- The distinction between exploratory and hypothesis-testing research is frequently not maintained in population biology.
- Hypotheses are often elaborated to a degree that obscures the initial exploratory nature of the research.
- Statistical null models are sometimes erroneously elevated to the status of causal population-biological theories.
Conclusions:
- Clarifying the distinction between research phases is crucial for robust theoretical development in population biology.
- Misapplication of statistical tools can lead to the acceptance of non-causal explanations as theory.
- A more rigorous approach to methodology is needed to ensure the validity of population-biological theories.