Service Task: Statistical Consulting & Learning Support (SPSS, R, Python)
I provide personalised support for university researchers and students who need help with statistical analysis, data interpretation, or strengthening their methodological understanding. This includes:

• SPSS, R, or Python statistical analysis
  ANOVA/ANCOVA, regression, mixed models, nonparametric tests, factor analysis, clustering, time-series, and more.
• Study design & methodology guidance
  Sample size planning, assumptions checking, experimental design, questionnaire validation.
• Data preparation & reproducible workflows
  Cleaning, coding, documentation, and reproducible scripts for academic projects and publications.
• Interpretation of outputs & writing results
  APA-style reporting, clear explanation of assumptions and limitations, and help preparing figures and tables.
• Teaching, tutoring, and workshops
  One-on-one or group support to learn statistics, SPSS, R, or Python—from beginner to advanced.

This service is tailored for postgraduate students, researchers, lecturers, and anyone needing rigorous, clear, and supportive statistical guidance.