The Eight Steps of Data Analysis: A Graphical Framework to Promote Sound Statistical Analysis

Area of Science:

• Statistics
• Research Methodology
• Data Analysis

Background:

• Data analysis poses significant risks to research validity, often due to overlooked statistical practices.
• Traditional statistics education may not adequately cover all potential pitfalls, such as outlier detection or linearity violations.
• Researchers frequently struggle to recall or apply all necessary precautions against statistical errors.

Purpose of the Study:

• To propose a general, graphic-based, eight-step statistical analysis strategy.
• To offer a method that mitigates common statistical traps without requiring memorization of numerous problematic practices.
• To enhance the prevention of false positives and false negatives in research.

Main Methods:

• Advocates for a structured, graphic-based, eight-step approach to data analysis.
• Focuses on a general strategy rather than a list of specific problematic practices.
• Emphasizes visual insights derived from the data throughout the analysis process.

Main Results:

• The proposed strategy effectively resolves the majority of statistical traps researchers encounter.
• Implementation of the eight steps aids in preventing both false positives and false negatives.
• The method uncovers critical data insights often missed by standard statistical practices.

Conclusions:

• A general, graphic-based, eight-step strategy offers a robust solution to common data analysis challenges.
• This approach enhances statistical conclusion validity and research integrity.
• The strategy provides valuable insights beyond those typically obtained through conventional methods.