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A Software Feature for Mixed Methods Analysis: The MAXQDA Interactive Quote Matrix.

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Area of Science:

  • Social Sciences
  • Health Sciences
  • Education

Background:

  • Mixed methods research integrates quantitative and qualitative data for robust conclusions.
  • Practical guidance on mixed methods integrative data analysis is limited.
  • Qualitative data analysis software (QDAS) offers advanced features for integration.

Purpose of the Study:

  • To promote QDAS for mixed methods integrative analysis.
  • To describe the value of QDAS features (code queries, crosstabulations, quote matrices).
  • To provide practical, step-by-step guidance using a real-life example.

Main Methods:

  • Demonstration of MAXQDA's Interactive Quote Matrix feature.
  • Utilizing a completed mixed methods study for illustration.
  • Describing the process for developing meta-inferences through QDAS.

Main Results:

  • QDAS features, particularly quote matrices, facilitate complex data integration.
  • The Interactive Quote Matrix aids in systematically developing meta-inferences.
  • Practical application enhances the rigor of mixed methods analysis.

Conclusions:

  • QDAS is a valuable tool for mixed methods integrative analysis.
  • Specific features like Interactive Quote Matrix streamline the development of meta-inferences.
  • Further exploration of QDAS functionalities can advance mixed methods research.