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Basics of statistics for primary care research
1Family Medicine, University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA.
Family Medicine and Community Health
|June 21, 2019
Summary
This guide introduces foundational statistical procedures and outlines 10 data analysis steps for research rigor. It helps new researchers and those reviewing basic statistics conduct systematic and valid scientific analyses.
Area of Science:
- Statistics
- Research Methodology
- Data Analysis
Background:
- Many researchers, especially those new to the field, require accessible guidance on statistical procedures.
- A clear understanding of statistical techniques is crucial for scientific rigor and valid research outcomes.
Purpose of the Study:
- To provide an introduction to foundational statistical procedures.
- To present a 10-step process for conducting data analysis to meet research standards.
- To assist individuals new to research or those seeking a statistics review.
Main Methods:
- Overview of foundational statistical techniques, including descriptive and inferential statistics.
- Detailed illustration of 10 general steps for statistical analysis.
- Examples provided for each step of the data analysis process.
Main Results:
- The article outlines 10 key steps for statistical analysis: hypothesis formulation, test selection, power analysis, data preparation, descriptive statistics, assumption checking, analysis execution, model examination, results reporting, and validity evaluation.
- Specific guidance is offered for researchers in family medicine and community health.
Conclusions:
- Following these systematic steps ensures a rigorous and valid statistical analysis.
- This framework supports researchers in addressing research questions effectively and meeting scientific standards.
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