Mixed-Methods Dissertation Support Needed
Budget: ₹12,500 – ₹37,500 INR
I’m developing an original dissertation that combines quantitative surveys with qualitative interviews. The mixed-methods design sits at the heart of the project, so I need expert help shaping each stage—from fine-tuning the research questions right through to synthesising the dual data sets into a coherent findings chapter.
The study’s primary data come from:
• Surveys (quantitative strand)
• Semi-structured interviews (qualitative strand)
Your role is to guide the technical and analytical work while keeping the writing academically rigorous and publication-ready.
Deliverables
• Methodology section that justifies the mixed-methods approach, details sampling, and outlines data-collection procedures
• Validated survey instrument and aligned interview guide, ready for ethics submission
• Cleaned quantitative dataset with descriptive and inferential statistics (SPSS or R preferred)
• Thematic coding of interview transcripts in NVivo (or comparable tool), complete with a clear codebook
• Integrated results chapter that weaves the statistical and thematic findings together
Acceptance Criteria
1. All statistical tests reported with assumptions checked and effect sizes noted.
2. Qualitative themes supported by verbatim quotes and an auditable coding trail.
3. Triangulated discussion that explicitly connects quantitative and qualitative insights.
4. APA-compliant tables, figures, and citations.
If you have a track record of supervising or co-authoring peer-reviewed mixed-methods studies, especially those leaning on surveys and interviews, your experience will be invaluable. Academic integrity and deadline discipline are non-negotiable, and I’m happy to structure milestones around each deliverable to keep progress transparent.
The study’s primary data come from:
• Surveys (quantitative strand)
• Semi-structured interviews (qualitative strand)
Your role is to guide the technical and analytical work while keeping the writing academically rigorous and publication-ready.
Deliverables
• Methodology section that justifies the mixed-methods approach, details sampling, and outlines data-collection procedures
• Validated survey instrument and aligned interview guide, ready for ethics submission
• Cleaned quantitative dataset with descriptive and inferential statistics (SPSS or R preferred)
• Thematic coding of interview transcripts in NVivo (or comparable tool), complete with a clear codebook
• Integrated results chapter that weaves the statistical and thematic findings together
Acceptance Criteria
1. All statistical tests reported with assumptions checked and effect sizes noted.
2. Qualitative themes supported by verbatim quotes and an auditable coding trail.
3. Triangulated discussion that explicitly connects quantitative and qualitative insights.
4. APA-compliant tables, figures, and citations.
If you have a track record of supervising or co-authoring peer-reviewed mixed-methods studies, especially those leaning on surveys and interviews, your experience will be invaluable. Academic integrity and deadline discipline are non-negotiable, and I’m happy to structure milestones around each deliverable to keep progress transparent.