Quantitative Data Analysis
An analysis that fits your data and your discipline, fully documented, and done in a way you can explain and defend.
What this service covers
Not every study fits neatly into SPSS or SEM. You may have secondary data across years, panel data from companies, index-based or ratio analysis, or a design that needs something more specific. What matters is choosing the right approach for your data and doing it properly.
Honest data assessment
We look at your dataset first — its structure, size, sources and quality — and tell you honestly what it can and cannot support.
The right approach
We recommend the approach that fits: time-series, panel regression, ratio and index construction, comparative analysis, trend analysis or others.
Software by the task
We choose the software by the task — SPSS, AMOS, SmartPLS, R, Excel or others — rather than forcing the data into one tool.
Replicable documentation
For secondary data, we document every source and every transformation, so the analysis is replicable and the limitations are stated.
Methods note
We deliver the analysis with a step-by-step methods note that you can adapt directly into your chapter.
A clear, guided process
- 01
Inspect the data
We look at your dataset first — its structure, size, sources and quality — and tell you honestly what it can and cannot support.
- 02
Recommend
We recommend the approach that fits: time-series, panel regression, ratio and index construction, comparative analysis, trend analysis or others.
- 03
Choose tools
We choose the software by the task — SPSS, AMOS, SmartPLS, R, Excel or others — rather than forcing the data into one tool.
- 04
Document
For secondary data, we document every source and every transformation, so the analysis is replicable and the limitations are stated.
- 05
Deliver
We deliver the analysis with a step-by-step methods note that you can adapt directly into your chapter.