SPSS Economic Relationship Analysis
Budget: ₹400 – ₹750 INR
I have a set of survey data that explores several economic and demographic factors, and I need a clear, statistically sound picture of how these variables relate to one another. The core task is to run the full analysis in SPSS—everything from data preparation through to interpretation—so that I can confidently discuss the significant relationships that emerge.
You will receive the raw survey file, a concise codebook, and a short list of research questions. Your job is to clean the dataset, choose the most appropriate statistical tests (correlations, cross-tabs, multiple regression, or other techniques you find valid), and present both the numeric output and a plain-language explanation of what the results mean.
Deliverables
• An SPSS (.sav) file with all transformations, labels, and analysis syntax saved
• Output tables/figures exported to Word or Excel, ready for publication
• A brief interpretation report (2–3 pages) summarizing each tested relationship, its statistical significance, and practical implications
I prefer SPSS for transparency and reproducibility, but if you would like to double-check a result in another package before submitting, that’s fine as long as the final hand-off remains SPSS-based.
Accuracy, clarity, and well-structured output matter more to me than fancy formatting. If you have questions about variables, assumptions, or model fit while you work, just let me know—I’m happy to clarify quickly so we keep the project moving.
You will receive the raw survey file, a concise codebook, and a short list of research questions. Your job is to clean the dataset, choose the most appropriate statistical tests (correlations, cross-tabs, multiple regression, or other techniques you find valid), and present both the numeric output and a plain-language explanation of what the results mean.
Deliverables
• An SPSS (.sav) file with all transformations, labels, and analysis syntax saved
• Output tables/figures exported to Word or Excel, ready for publication
• A brief interpretation report (2–3 pages) summarizing each tested relationship, its statistical significance, and practical implications
I prefer SPSS for transparency and reproducibility, but if you would like to double-check a result in another package before submitting, that’s fine as long as the final hand-off remains SPSS-based.
Accuracy, clarity, and well-structured output matter more to me than fancy formatting. If you have questions about variables, assumptions, or model fit while you work, just let me know—I’m happy to clarify quickly so we keep the project moving.