Jamovi answers a question thousands of scholars ask every year: do I really have to pay for (or borrow a licence for) SPSS? It's free, open-source, runs on Windows/Mac/Linux, looks and works enough like SPSS that the transition takes an afternoon — and it's built on R, so the statistics underneath are the same engines the methodologists use.
What Jamovi covers
- The full thesis staple set — descriptives, t-tests, ANOVA/ANCOVA, correlation, linear and logistic regression, chi-square, non-parametrics.
- Reliability and factor analysis — Cronbach's alpha and McDonald's omega, EFA and CFA through the standard modules.
- Mediation/moderation — via community modules (e.g. medmod, jAMM) covering the common mediation and moderation models.
- A growing module library — meta-analysis (MAJOR), power analysis (jpower) and more, installable inside the app.
- Live, transparent output — results update as you change options, tables are APA-styled, and the analysis travels with the data file (a real reproducibility win over screenshot-driven SPSS work).
Jamovi vs SPSS for a thesis, honestly
For the analyses in most MBA, MPhil and social-science PhD theses, jamovi is functionally sufficient and pleasanter to use. SPSS retains three real advantages: institutional expectation (some departments and examiners simply know SPSS and its output format — worth checking before switching), the AMOS ecosystem for covariance-based SEM, and some advanced procedures in its paid modules. If your model needs full SEM, you'll pair either tool with AMOS or SmartPLS anyway — jamovi's CFA covers measurement models, not complex structural ones.
Getting started sensibly
- 1Download from jamovi.org, open your data (it reads CSV, SPSS .sav and Excel files directly).
- 2Run your reliability checks and descriptives; confirm they match expectations before anything inferential.
- 3Install the modules your design needs (Modules → jamovi library).
- 4Report results exactly as you would from SPSS — jamovi's APA tables make this easier, and examiners care about correct, defended analysis, not the logo on the software.
Self-funded scholar with standard analyses: jamovi, confidently. Department standardised on SPSS, or an AMOS-based SEM ahead: stay with the SPSS path. Either way, the analysis choices — not the software — are what get defended; that's where mentoring earns its keep.
Frequently asked
Is jamovi acceptable for PhD thesis analysis?+
Yes — it runs the same validated statistical engines (R) as any commercial package, and universities examine your analysis, not your software licence. If your department has an SPSS-output convention, confirm with your guide first.
Is jamovi really free?+
Fully — it's open-source with no licence fees, including the module library. A paid cloud version exists for browser-based use, but the desktop app costs nothing.
Can jamovi do SEM?+
It handles CFA and (via modules like SEMLj) basic structural models, but for serious covariance-based SEM or PLS-SEM you'll still use AMOS or SmartPLS respectively.
phdguide's mentors are senior academics, former supervisors, statisticians and publication specialists with 25+ years of combined experience guiding MBA, MPhil and PhD scholars from topic to viva.
Ethical, compliant guidance: We provide academic support, mentoring, analysis, editing and structuring — not authorship. Your work stays compliant with university policies.