Quantitative Secondary Data Analysis
Budget: $10 – $30 USD
I have an existing secondary dataset and need a clear, defensible quantitative study built around it. The core tasks involve cleaning the data, running the appropriate statistical tests, and presenting the findings in a concise, publication-ready format that includes both tables and visualisations.
Because the dataset is already collected, the emphasis is on rigorous analysis rather than data gathering. You will decide on the most suitable techniques—descriptive statistics, correlation, regression, or other inferential methods—justify each choice, and document every step so the work is fully reproducible (SPSS).
Deliverables:
• A short methodological write-up outlining the analytical approach and assumptions
• Annotated code or syntax file that can be rerun end-to-end
• Cleaned dataset (only variables used, with labels)
• Results report: key statistics, graphs, and an interpretation section that ties findings back to the research questions
Acceptance criteria: the code reproduces the same outputs on my machine, results are clearly explained, and all decisions are transparently justified.
If you have recent experience publishing or supporting peer-reviewed quantitative research based on secondary data, your insights will be especially valuable.
Because the dataset is already collected, the emphasis is on rigorous analysis rather than data gathering. You will decide on the most suitable techniques—descriptive statistics, correlation, regression, or other inferential methods—justify each choice, and document every step so the work is fully reproducible (SPSS).
Deliverables:
• A short methodological write-up outlining the analytical approach and assumptions
• Annotated code or syntax file that can be rerun end-to-end
• Cleaned dataset (only variables used, with labels)
• Results report: key statistics, graphs, and an interpretation section that ties findings back to the research questions
Acceptance criteria: the code reproduces the same outputs on my machine, results are clearly explained, and all decisions are transparently justified.
If you have recent experience publishing or supporting peer-reviewed quantitative research based on secondary data, your insights will be especially valuable.