Choosing a tool is easier when you know what you will have to defend. FHJCIS provides data analysis help for theses and papers — assistance with workflows, coding, questionnaires, tables, figures and interpretation checks — in SPSS and Python, and with other tools our team works with, including MATLAB/Simulink, R, STATA, AMOS, SmartPLS, NVivo and Excel.
We do not hand you an analysis you cannot explain. You remain responsible for the results, and you should be able to describe the test, the assumptions and the output in a viva or to a reviewer. The team works with you and guides you.
Which tool fits which kind of work?
There is no single “best” package. A practical way to choose is:
- SPSS is widely taught in Pakistani social science, business, education and health programmes. It is often the right choice for questionnaire data, t-tests, ANOVA, regression and similar designs when your department expects SPSS output. Our free statistical test chooser gives the SPSS menu path for common tests, alongside Python snippets.
- Python is a better fit when you need a reproducible script, custom figures, machine-learning pipelines, or work in computer science and AI. The FHJCIS team also works with libraries such as TensorFlow, PyTorch and Scikit-learn, which we list among our tools on the homepage.
- MATLAB and Simulink are common in engineering, signal processing, control and simulation. If your thesis already uses MATLAB, we can help you keep that workflow clear rather than forcing a switch.
- R and STATA appear in statistics-heavy and econometric work; AMOS and SmartPLS in structural-equation modelling; NVivo in qualitative coding. We can discuss these when they match your method.
If you are unsure, tell us your research questions, the scale of your variables, your sample and what your supervisor or journal expects. The test chooser is a good first step; it does not replace a supervisor’s advice or a statistician’s judgement on unusual designs.
What support looks like
On our data analysis and technical support service, work can include:
- Quantitative analysis support and qualitative workflow support
- Questionnaire and dataset preparation
- Coding workflow assistance
- Tables and figure preparation
- Interpretation and consistency checks
For medical imaging and machine-learning evaluations, we have written openly about splits, metrics and baselines in How to Evaluate Medical Image Segmentation Models, and about reporting model explanations in Explainable AI in Your Thesis or Paper.
This service is available to students and researchers in Pakistan and worldwide. We are based in Bahawalpur. WhatsApp: +92 331 2663342 and +92 312 6243342.
Your analysis, your responsibility
FHJ provides analysis assistance and technical support. Clients remain responsible for originality, accuracy, authorship and institutional compliance, and should be able to defend the method and the results.