Master's Thesis: Analysis & Writing
Budget: $30 – $250 USD
Contact me for info:
I already have my raw survey data and a clear research question; what I need now is a partner who can carry the work all the way to a finished, submission-ready Master’s thesis. The scope is end-to-end:
• Data preparation – clean the dataset and document every step in well-commented R scripts so my committee can reproduce the work.
• Statistical core – run and interpret the regression analysis that sits at the heart of the study. I am open to whichever flavour (linear, logistic, multilevel, etc.) fits best once you inspect the variables.
• Clustering add-on – please include at least one clustering exploration (K-means, hierarchical or another justified method) so we can discuss latent group structures and enrich the narrative.
• Visual storytelling – create publication-quality plots in ggplot2 (or similar) to illustrate both the regression and cluster results.
• Literature review – 4,000+ words, referenced throughout in either APA or Harvard style (your choice, just stay consistent).
• Discussion & conclusion – weave the statistical findings back into the literature, highlight implications, and note limitations/future work.
• Final document – assemble everything into a coherent report of 40 or more pages in Word, then supply a polished PDF. Include an automatically generated reference list.
I will provide the raw data, research objectives and any faculty guidelines. You deliver the cleaned dataset, R code files, figures, tables and the full thesis document. If anything in this brief is unclear, let me know upfront so we can lock down expectations before we start.
I already have my raw survey data and a clear research question; what I need now is a partner who can carry the work all the way to a finished, submission-ready Master’s thesis. The scope is end-to-end:
• Data preparation – clean the dataset and document every step in well-commented R scripts so my committee can reproduce the work.
• Statistical core – run and interpret the regression analysis that sits at the heart of the study. I am open to whichever flavour (linear, logistic, multilevel, etc.) fits best once you inspect the variables.
• Clustering add-on – please include at least one clustering exploration (K-means, hierarchical or another justified method) so we can discuss latent group structures and enrich the narrative.
• Visual storytelling – create publication-quality plots in ggplot2 (or similar) to illustrate both the regression and cluster results.
• Literature review – 4,000+ words, referenced throughout in either APA or Harvard style (your choice, just stay consistent).
• Discussion & conclusion – weave the statistical findings back into the literature, highlight implications, and note limitations/future work.
• Final document – assemble everything into a coherent report of 40 or more pages in Word, then supply a polished PDF. Include an automatically generated reference list.
I will provide the raw data, research objectives and any faculty guidelines. You deliver the cleaned dataset, R code files, figures, tables and the full thesis document. If anything in this brief is unclear, let me know upfront so we can lock down expectations before we start.