I have reached the data-heavy stage of my PhD and need a statistician who can take my raw dataset and transform it into defensible, publication-ready results. All data are collected; what remains is selecting the right tests, checking assumptions, running the analyses, and clearly presenting what the numbers mean in the context of my research questions. Your role is to: • Review my research objectives and the variables already coded • Advise on, then carry out, the appropriate statistical procedures (e.g., regression, ANOVA, factor analysis—whatever best fits the hypotheses) • Provide clean, fully commented scripts in SPSS, R, Stata, or Python so I can reproduce every step • Deliver well-formatted tables, figures, and a concise methods/results write-up that aligns with typical journal or dissertation standards Acceptance criteria • All analyses replicate identically on my machine using your code • Assumptions are tested and reported • Results are delivered in both editable (Word/Excel) and PDF formats • A short hand-over call or video walkthrough clarifies decisions and next steps When you respond, focus on your experience with PhD-level statistical analysis—especially any dissertations, peer-reviewed papers, or complex data projects you’ve handled.