Dr. Didgar Research Institute

Statistical analysis with SPSS, R and Python

Research data analysis and modeling with SPSS, R, Python, Stata and MATLAB, including documented code, assumptions and interpretation of results.

Illustrative charts and a data-analysis notebook in an academic workspace

Research services

  • Advanced descriptive and inferential statistics
  • Regression analysis (linear, logistic, multiple, multilevel)
  • Analysis of variance (ANOVA, MANOVA, ANCOVA)
  • Factor analysis (exploratory & confirmatory) and clustering
  • Structural equation modeling (SEM) with AMOS & Lisrel
  • Time series analysis, forecasting, and survival analysis
  • Non-parametric analyses and bootstrap methods
  • Qualitative data analysis using NVivo software

Expected deliverables

  • Agreed scope and work plan
  • Editable files or code appropriate to the service
  • Methods, assumptions and decision documentation
  • Review notes and usage guidance

What to prepare

  • Question, discipline and current research stage
  • Institutional or journal requirements and deadline
  • Existing manuscript or permitted de-identified data
  • Expected deliverables and supervisor comments
Scope, fees, tools, timing, revisions and support are agreed in writing. Researchers retain responsibility for understanding and approving the work.

Our process

  1. Review your topic, degree, available data and deadline.
  2. Agree deliverables, timeline and a transparent quotation.
  3. Review milestone outputs and progress reports.
  4. Check methods, analysis, sources and writing quality.
  5. Receive editable files, code and agreed documentation.

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