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Building and mining web-based questionnaires and surveys with SySQ.

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This study introduces a web-based system to streamline questionnaire data collection and analysis. It automates the pipeline, reducing errors and enabling direct statistical analysis for researchers.

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Area of Science:

  • Computer Science
  • Statistics
  • Epidemiology

Background:

  • Manual data collection via questionnaires is prone to errors and limitations.
  • Statistical analysis often requires separate, costly software, introducing further errors.
  • Integrating data collection and analysis can improve research efficiency and accuracy.

Purpose of the Study:

  • To present a web-based software system for automating questionnaire data analysis.
  • To reduce errors associated with manual data handling and separate analysis tools.
  • To provide researchers with an integrated platform for questionnaire creation and statistical analysis.

Main Methods:

  • Development of a web-based system for questionnaire design and data collection.
  • Implementation of direct statistical analysis and data mining functions within the system.
  • Features include questionnaire creation, preview, data export, and integrated analysis.

Main Results:

  • The system automates the data analysis pipeline, minimizing potential errors.
  • Researchers can create, preview, and export questionnaires easily.
  • Integrated statistical and data mining techniques are available directly through the interface.

Conclusions:

  • The developed system offers a unified solution for questionnaire data management and analysis.
  • It aims to enhance the accuracy and efficiency of research, particularly in fields like epidemiology.
  • The software supports researchers by providing tools for both data collection and analysis within a single platform.