Analysis Services

Statistical Analysis Consulting

Methodological support for data analysis with SPSS, R and Python.

Overview

We provide methodological consulting so that you analyse your data with the right tests under the right assumptions. Working together in SPSS, R and Python, we explain which analysis is appropriate and why, and how the results should be interpreted.

SPSSRPythonJamoviJASP

What we do in this service

  • Choosing appropriate statistical tests and models
  • Analysis consulting in SPSS / R / Python
  • Interpreting results in academic language
  • Checking tables and figures against APA or your institution's guide

Example topics

01Examining the relationship between two scale scores with regression analysis
02Comparing satisfaction scores across demographic variables
03Repeated-measures analysis in a pre-test–post-test experimental design
04Descriptive and inferential analysis of Likert-type survey data

These examples illustrate the scope of the service; every project is planned around its own research question.

What you will have at the end

Analysis plan and methodological rationale
Annotated analysis and project files
Table and figure check against APA 7 or your institution's guide
Guidance notes to help you interpret your findings

Who is it for?

All students and academics conducting quantitative research

Frequently asked questions

Yes. By reviewing your research question, variable types and sample structure together, we identify the appropriate test or model with its rationale. We explain the choice so that you can defend it in your methods chapter.

That is exactly our aim. We explain every step with its rationale and share guidance notes for interpretation. Turning the findings into text and the final interpretation are the researcher's responsibility.