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Maybe Small Is Too Small a Term: Introduction to Advancing Small Sample Prevention Science
Carlotta Ching Ting Fok1, David Henry2, James Allen3
1Center for Alaska Native Health Research, Institute for Arctic Biology, University of Alaska Fairbanks, Fairbanks, USA. ctfok@alaska.edu.
Summary
This research explores innovative methods for prevention science when working with small sample sizes. It offers solutions for design and analysis challenges in health disparities research.
Area of Science:
- Prevention Science
- Health Disparities Research
- Methodology
Background:
- Prevention research often involves small population groups facing health disparities.
- Challenges in research design and analysis arise when working with limited sample sizes.
Purpose of the Study:
- To define small sample sizes in research.
- To identify and solve design and analysis issues in small sample prevention research.
- To evaluate innovative solutions for describing phenomena, testing theory, and intervention effects.
Main Methods:
- This special section presents methodologically innovative solutions for small sample research.
- Articles focus on design phase input and analysis challenges.
- Emphasis is placed on testing intervention effects in prevention research.
Main Results:
- The section provides applied, problem-oriented solutions for small sample research.
- Innovative methods are detailed for addressing design and analytic issues.
- Implications for broader prevention research are explored.
Conclusions:
- Methodological innovations can enhance prevention research with small samples.
- Future research directions are outlined for small sample prevention science.
- Federal agency perspectives on these innovations are included.
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