Transparent, Defensible Analysis for Academic Research
The Data Analysis (Quantitative & Qualitative) service supports researchers who need methodologically sound analysis and clear interpretation of their data. We help ensure that analytical choices are appropriate, results are correctly derived, and findings are presented in a way that withstands academic scrutiny.
This service focuses on correct analysis and explanation, not result engineering.
What This Service Covers
We provide structured analytical support across quantitative and qualitative research, including:
- Statistical analysis aligned with research questions and study design
- Descriptive and inferential statistics
- Hypothesis testing and result interpretation
- Regression models, ANOVA, non-parametric tests, and related techniques
- Qualitative data coding, thematic analysis, and content analysis
- Integration of analysis outputs into manuscript-ready tables and figures
All analysis is explained clearly so authors understand what was done and why.
Who This Service Is For
This service is suitable for:
- Researchers working with survey, experimental, or observational data
- PhD and Master’s students analyzing thesis or dissertation data
- Authors preparing results sections for journals
- Academics needing validation of analytical choices
- Researchers revising analysis after reviewer feedback
Our Approach
Data analysis must be defensible and reproducible.
- 📊 Method selection based on study design, not convenience
- 🧠 Clear justification of analytical steps
- 📄 No data fabrication, p-hacking, or result manipulation
- 🔒 Strict confidentiality — datasets and results are handled securely
We do not guarantee significance or desired outcomes.
Deliverables You Can Expect
- Correctly executed quantitative and/or qualitative analysis
- Clear interpretation of results
- Analysis-ready tables and figures
- Guidance on reporting results in manuscripts
- Optional support for responding to reviewer queries
Unsure If Your Analysis Is Appropriate?
If you’re unsure whether your data has been analyzed correctly, we can review your dataset and methodology and advise.
Email us directly 📩
support@liftmypaper.in
Lift my Paper Team