Smart data analysis V2: A user-friendly software for non-statisticians

Area of Science:

• Biostatistics
• Data Science
• Research Methodology

Background:

• Accurate data analysis relies on validating statistical method assumptions.
• Violating assumptions can lead to incorrect outcomes and conclusions.
• Limited statistical knowledge poses a barrier for many researchers.

Purpose of the Study:

• To develop an interactive web application, Smart Data Analysis V2 (SDA-V2), for simplifying statistical analysis.
• To assist users with limited statistical expertise in performing reliable data analysis.
• To provide a freely accessible tool for data exploration, assumption checking, and method selection.

Main Methods:

• Development of an interactive, user-friendly web application (SDA-V2).
• Automated data exploration and visualization features.
• Automated examination of assumptions for parametric tests.
• Automated selection of appropriate statistical methods.
• Assessment of research instrument quality and minimum sample size determination.

Main Results:

• SDA-V2 provides automated data exploration, assumption validation, and statistical method selection.
• The application assists in assessing research instrument quality and determining required sample sizes.
• SDA-V2 is accessible online, offering a user-friendly interface for statistical analysis.

Conclusions:

• SDA-V2 simplifies complex statistical procedures for users with limited statistical knowledge.
• The tool enhances the accuracy and reliability of data analysis outcomes.
• While valuable, SDA-V2 complements, but does not replace, fundamental statistical understanding; expert oversight is recommended.