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DECISION MAKING IN RESEARCH AND CLINICAL PRACTICE: Part 1: The basis for decision
This paper explains fundamental statistical concepts for research decision-making, including hypothesis testing and significance levels. It provides a foundation for understanding statistical tests and their clinical relevance for physical therapists.
Area of Science:
- Biostatistics
- Research Methodology
Background:
- Effective research requires a solid understanding of statistical principles.
- Physical therapists need to interpret statistical data for clinical decision-making.
Purpose of the Study:
- To elucidate the foundational statistical concepts underpinning research decision-making.
- To connect basic statistical procedures to their practical application in physical therapy.
Main Methods:
- Discussion of basic statistical procedures.
- Explanation of hypothesis testing rationale.
- Exploration of probability and the normal curve.
- Definition of tests of significance and level of significance.
Main Results:
- Provides a clear explanation of core statistical concepts.
- Establishes the link between statistical theory and practical research.
- Highlights the relevance of statistical significance in clinical contexts.
Conclusions:
- Understanding these foundational statistical concepts is crucial for interpreting research findings.
- This paper serves as a basis for advanced statistical applications in physical therapy research.
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