Our Mission
CrossTabs exists to make rigorous statistical analysis of categorical data accessible to everyone — researchers, students, clinicians, and analysts — without requiring expensive software licenses or advanced programming skills. We believe that the tools used to analyze data should be free, transparent, and respect user privacy.
What CrossTabs Does
CrossTabs provides a suite of free, browser-based tools for categorical data analysis and contingency table methods. Our calculator handles the full workflow from data input through interpretation:
- Chi-square tests for independence, goodness of fit, and homogeneity
- Fisher's exact test for small-sample and sparse-table analysis
- Effect size measures including Cramér's V (with bias correction), phi coefficient, odds ratios, and relative risk
- Post-hoc analysis with adjusted standardized residuals
- Power analysis for sample size planning
- Cohen's kappa for inter-rater agreement
- APA-formatted output ready for publication
Methodology
Every statistical method in CrossTabs is implemented following peer-reviewed literature and established standards. We do not invent novel procedures; instead, we faithfully implement well-validated methods so researchers can trust the output.
Foundational References
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. — Effect size benchmarks and power analysis methods.
- Agresti, A. (2013). Categorical Data Analysis (3rd ed.). Wiley. — Core contingency table methods, Fisher's exact test, and log-linear models.
- American Psychological Association. (2020). Publication Manual of the American Psychological Association (7th ed.). — APA-formatted reporting of statistical results.
- Bergsma, W. (2013). A bias-correction for Cramér's V and Tschuprow's T. Journal of the Korean Statistical Society, 42(3), 323–328. — Bias-corrected effect size estimation.
- Fisher, R. A. (1922). On the interpretation of chi-square from contingency tables. Journal of the Royal Statistical Society, 85(1), 87–94. — Fisher's exact test foundations.
All calculations run entirely in your browser using JavaScript. Our source code is publicly available for inspection, so any researcher can verify our implementations against the published formulas.
Privacy Commitment
CrossTabs was designed from the ground up with data privacy as a core principle:
- 100% client-side processing — Your data never leaves your browser. There is no server-side computation.
- No data collection — We do not store, log, or transmit any data you enter into the calculator.
- No user accounts required — No signup, no email collection, no tracking cookies for analytics.
- Safe for sensitive data — Because nothing is transmitted, CrossTabs is suitable for medical research data, HIPAA-adjacent workflows, and proprietary business data.
Read our full Privacy Policy for details.
Open Source
CrossTabs is open-source software. The full source code is available on GitHub:
View on GitHub →
We welcome contributions, bug reports, and feature requests. Whether you are a statistician who wants to verify a formula, a developer who wants to improve the interface, or a researcher who needs a new test added, the project is open to collaboration.
Contact & Contribute
The best ways to reach us or contribute to the project:
Try CrossTabs
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