Students often ask which statistics program is “best”. The honest answer is that the best software is the one that fits your research design, your data and your department’s expectations. Here is how to decide.
Start with your method, not the software
Write down the analysis your research design needs before you open any program. A survey study testing a model of relationships between latent constructs points towards structural equation modelling. A study of companies over several years points towards panel data methods. Once you know the method, the choice narrows quickly.
A quick guide
- SPSS: menu driven and widely taught. Good for descriptive statistics, t-tests, ANOVA, regression and factor analysis.
- SPSS AMOS: covariance-based structural equation modelling with a visual path diagram.
- SmartPLS 4: partial least squares SEM, popular in business and management research, especially with smaller samples or complex models.
- Stata and EViews: strong for econometrics, panel data and time series.
- R and Python: free, flexible and fully reproducible, with the steepest learning curve.
- NVivo and QDA Miner Lite: for coding and organising qualitative data such as interviews.
Check what your department expects
Some programmes require a specific package, and your supervisor will find it easier to review output from software they know. Ask early.
Keep your work reproducible
Whatever you choose, save your syntax, script or project file. It lets you rerun the analysis after corrections and shows examiners exactly what you did.
If you are unsure which method or software suits your study, our data analysis team can advise you before you start.