PsyStat Nexus puts a full statistical computing environment in your pocket — from t-tests to structural equation modeling, with an AI advisor that speaks your language, not jargon.
The tools you rely on were designed for a different era. You deserve better.
Excel for data entry. SPSS for the test. R for that one chart. Word for APA formatting. A textbook to remember what the output means. Sound about right?
You know your research question. You know your data. But translating that into the right statistical procedure — and defending that choice — burns hours you don't have.
SPSS runs ~$99/month. Stata, Mplus, AMOS — each costs hundreds to thousands per year, each does only part of the job, and none of them fit in your pocket.
Pages of unlabeled tables. No confidence intervals on your effect sizes. No plain-English explanation of what the numbers actually mean for your research question.
You ran 200 participants, only to discover your data violates normality, homogeneity, and sphericity. Now what?
Reviewers ask if your result holds under different analytic choices. You have no idea — because you never checked. Because checking was impossible.
Every module is a full-featured toolkit — not a demo, not a preview. Production-grade statistical computing you can cite in publications.
Not a chatbot with a statistics textbook. PsyStat's AI knows your data, your modules, your last analysis, and the specific nuances of behavioral science methodology.
PsyStat automatically checks every relevant assumption before each analysis — normality, homogeneity, sphericity, linearity, independence — and suggests alternatives when things go wrong.
Every result comes with APA 7th edition formatting, confidence intervals on effect sizes, and plain-language interpretation. Copy, export, cite.
t(48) = 2.34, p = .023, d = 0.67, 95% CI [0.09, 1.25]Multiverse analysis runs every reasonable combination of your decisions — outlier methods, transformations, test variants — and shows whether your conclusion survives them all. Reviewers love this.
No installation. No syntax. No switching between apps.
Paste from a spreadsheet, upload CSV/Excel/SPSS/Stata, or use built-in sample datasets to learn.
Tell the AI what you want to know in plain English — or pick a test directly. Assumptions are checked automatically.
Publication-ready output with APA formatting, effect sizes, confidence intervals, and plain-language interpretation.
Copy APA text to your manuscript, export PDF reports, save to your project, or run sensitivity checks for reviewers.
We didn't build a clone. We built what should have existed all along.
| Capability | SPSS v31 | R / jamovi | JASP 0.19 | PsyStat Nexus |
|---|---|---|---|---|
| Mobile-native (phone & tablet) | ✕ Desktop only | ✕ Desktop only | ✕ Desktop only | ✓ Built for it |
| AI-powered test recommendation | Partial (watsonx interprets output) | ✕ | ✕ | ✓ Recommends + routes |
| Automatic assumption checking | Opt-in per test | Opt-in checkboxes | Opt-in checkboxes | ✓ Auto + dashboard |
| Bayesian analysis | Limited (few tests) | Packages (brms, etc.) | ✓ Comprehensive | ✓ + MCMC + PPC |
| Multiverse / specification curve | ✕ | Packages (specr) | ✕ | ✓ Built-in GUI |
| APA 7th auto-formatting | Table styling only | Packages (papaja) | ✓ Tables & plots | ✓ + inline text copy |
| SEM visual builder | AMOS (paid add-on) | jamovi SEMLj GUI | ✓ Path editor | ✓ Drag & drop + lavaan export |
| Dual framework (freq + Bayes) | ✕ Separate menus | ✕ | ✓ Core feature | ✓ Side-by-side + agreement check |
| IRT + DIF + CAT simulation | ✕ | Packages (mirt, catR) | ✕ | ✓ Full suite, no code |
| Causal inference (DAGs, IV, DR) | ✕ | Packages (dagitty, MatchIt) | Beta (Process module) | ✓ Visual DAG + compute |
| Price | ~$99/mo subscription | Free (open source) | Free (open source) | Free / $9.99 / $24.99 |
| Requires coding | GUI + optional syntax | jamovi: No / R: Yes | No | No |
Comparison reflects SPSS v31 (June 2025), JASP 0.19.3 (Jan 2025), jamovi 2.x, and R 4.x ecosystem as of March 2026. We aim to be fair — corrections welcome.
Chain steps together into reproducible workflows. Clean → check assumptions → analyze → effect sizes → export. Save the pipeline, share it, run it on new data.
Built-in rigor checks, convergence testing, and sensitivity analysis — so you publish with confidence.
AI grades your analysis rigor A–F, flags weak spots, and tells you exactly what Reviewer 2 would attack — before you submit.
Run 3 different methods on the same data and check convergence. If parametric, non-parametric, and bootstrap agree, your finding is solid.
Checks every relevant assumption before every analysis — automatically. Violations block the test and suggest alternatives.
Computes the positive predictive value (PPV) — the probability your significant result is a true positive, given your power and base rate.
Post-hoc sensitivity calculator: how many participants, how much larger an effect, or how different the variance would be needed to change your conclusion.
Scans across all your analyses in a project and flags inconsistencies — contradictory effect directions, conflicting significance patterns, impossible correlations.
Prove two groups are practically equivalent, not just “not significantly different.” Two one-sided tests with your specified equivalence bounds.
How fragile is your result? Vary each analytic decision independently and see which choices flip significance. One-click multiverse lite.
Composite rigor metric across 8 dimensions: power, assumptions, effect sizes, robustness, pre-registration compliance, transparency, replicability, and reporting completeness.
11 tools that handle the tedious parts of the research process so you can focus on the science.
5-step wizard that takes you from a vague topic to a specific, testable hypothesis with defined variables, expected direction, and statistical framework.
50+ constructs, 150+ validated instruments with psychometric properties, scoring guides, and citation-ready references. Find the right scale in seconds.
AI-powered ethics application drafting. Answer prompts about your study and get a draft IRB protocol, consent form, and risk assessment.
Tracks completion of each pre-registered step, flags deviations from the plan, and documents justified changes with timestamps and rationale.
One-click export: data + analysis code (R/Python) + narrative methods + codebook + variable dictionary. Everything a replicator needs in one ZIP.
Auto-generates APA-formatted method and results sections from your analysis pipeline. Copy directly into your manuscript.
Paste reviewer comments, get AI-drafted point-by-point responses with re-analysis suggestions and manuscript edit locations.
Export R and Python scripts for 17 test types. Reproduce your exact analysis in any environment with fully commented, publication-ready code.
Cross-module variable usage tracking. See which variables are used in which analyses, detect orphans, and maintain a living data dictionary.
Compliance checkers for 10 journals (APA, APS, BMJ, JAMA, Nature, PLOS, etc.). Flags missing elements, wrong formats, and incomplete reporting.
Simulations, plain-English explanations, and misconception detection built into every analysis.
Central Limit Theorem, p-values, confidence intervals, statistical power, and correlation — manipulate parameters and watch distributions change in real time.
Plain-English translations for every statistical test. Toggle between technical output and “explain like I'm 5” summaries on any result card.
Flags 20 common statistical errors in real time: “p = .06 trends toward significance,” confusing correlation with causation, misinterpreting confidence intervals, and more.
Contextualizes your effect size against published benchmarks from 15 fields. Is d = 0.4 large in clinical psychology? Small in education? Now you know.
Presentation slideshow of your entire analysis pipeline. Each step becomes a slide with visuals, narration, and key findings — ready for lab meetings or conference talks.
62 terms with definitions, formulas, examples, and cross-references. Tap any term in any result to see its glossary entry in context.
Every module has a help guide with plain-language and technical tabs. Learn why a method exists, when to use it, and how to interpret the output.
Smart data editing, cross-module suggestions, and a full audit trail of every action.
Cell editing, column types (numeric, categorical, ordinal), sort, filter, and formula support. Your data lives inside the app — no more CSV round-trips.
Contextual next-step recommendations after every analysis. “Your ANOVA was significant — run post-hoc tests?” One tap to continue.
Automatic audit trail of every action: data imports, transformations, tests run, results exported. Full provenance for reproducibility and transparency.
Visual map of how your analyses connect. See which results feed into which downstream analyses, identify bottlenecks, and trace any finding back to raw data.
Copy any result value with one tap. No selecting, no highlighting — just tap the number and it's on your clipboard.
30-minute LRU cache means repeated analyses return instantly. Change one parameter and only the delta recomputes.
Every input field is auto-saved as you type. Navigate away and come back — your work is exactly where you left it.
Accidentally cleared your data? A 5-second recovery window lets you undo and restore everything instantly.
Colorblind-safe palettes (deuteranopia, protanopia, tritanopia), adjustable font scaling (0.8x–1.5x), high contrast mode, and full screen reader support.
8 pre-formatted CSV templates for common designs: 2-group, pre-post, factorial, survey, longitudinal, and more. Start analyzing in seconds.
Select multiple analyses and export them together as CSV, JSON, or APA-formatted reports in one action.
Generate citations for your PsyStat analyses in APA 7th, BibTeX, Chicago, and Vancouver formats. Copy or export directly.
Link your ORCID academic profile so exported reports and replication packages include your researcher identity automatically.
Turn your analysis pipeline into a presentation-ready slide deck. Charts, tables, and interpretations formatted for PowerPoint.
Place two analysis results side by side to spot differences, compare conditions, or evaluate model variants at a glance.
Label and organize your analyses with custom tags. Filter your history by tag to find exactly what you need.
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Join researchers who've replaced five tools with one. Your first analysis takes less than 60 seconds.
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