The project is ready to go and I need it turned around as soon as possible. I have the raw data in both CSV and native SPSS formats and I’d like all cleaning, scoring, and statistical work carried out in R—ideally with tidyverse, psych, lavaan, and semTools (or equivalent) so every step is transparent and reproducible. Core tasks • Clean and score the BSMAS, PANAS, PAS, APS, and FS scales, flagging any out-of-range or missing values and documenting the rules you apply. • Run the planned psychometric models: multiple regression plus mediation analyses with bootstrapped confidence intervals. Where mediation is significant, report indirect effects and total effects clearly. • Export a concise, publication-ready Method, Results, and short Discussion section in APA style (DOCX or LaTeX—your choice). • Generate tables and figures that can drop straight into the manuscript. • Supply fully reproducible code (R scripts and a brief README); SPSS syntax is a bonus but not essential. • Provide Excel outputs summarising every mediation tested, with a separate sheet that isolates only the significant ones. I’m working under tight time pressure, so clear versioning and well-commented code matter as much as statistical accuracy. Experience with PROCESS equivalents in R, strong grasp of mediation theory, and solid APA writing are must-haves. Familiarity with Python/statsmodels or EU digital-law considerations (DSA, GDPR, Charter) would be an advantage, though not required. Send a short note outlining your approach and estimated turnaround, and we can get started right away.