query regarding convergent parallel mixed method

[shefali sharma]

Greetings!

 I am employing a mixed-methods approach, specifically a convergent parallel design, in my research. In this design, quantitative and qualitative data are collected and analyzed independently, and then integrated to examine whether the findings from both strands converge, diverge, or complement each other in addressing the same research problem. This integration also helps in establishing convergent validity. However, I seek clarification regarding the appropriate basis for comparison during integration. When aligning quantitative results with qualitative themes, should the comparison be structured around research objectives, research questions, or hypotheses? I would be grateful for your guidance on selecting the most methodologically appropriate approach.

Regards,

Shefali

Chitkara University

[Neeraj Kaushik]

Dear Shefali

Thanks for asking such pertinent question.

I tried to find answer, pondered a couple of answers and found this one as the best answer (given by chatGPT)

In a convergent parallel mixed-methods design, integration should be structured around research questions or objectives, because they provide a common analytical framework for both quantitative and qualitative strands, whereas hypotheses are limited to the quantitative domain.

In convergent design, the goal is to generate meta-inferences by examining:

• Convergence (agreement)
• Divergence (contradiction)
• Complementarity (expansion)

These are best assessed when both strands answer the same research question, not necessarily the same hypothesis.

Best wishes

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[shefali sharma]

Good Morning Sir,

  Thank you for your thoughtful and detailed response. I truly appreciate the time you took to reflect on my question and share such a clear and well-structured explanation.

Thanks and regards,

Shefali  

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