Quanta

Quanta is a native macOS statistical analysis application developed by ReliCheck for students, educators, and researchers in the behavioral and health sciences. It exists to answer a simple frustration: the Mac is the computer researchers actually sit in front of, and statistical software has treated it as an afterthought for decades. Quanta is written in Swift and engineered for Apple silicon, with a statistics engine that runs directly on Apple's math frameworks. There is no R installation, no Python environment, and no translation layer underneath. The app opens fast, follows macOS conventions, supports dark mode, and works offline.

The analysis library covers the work behavioral and health researchers actually run. Descriptive statistics summarize distributions with the speed of a native engine; in ReliCheck's published benchmarks, descriptives on a one-million-row dataset complete in a fraction of a second. Group comparisons include t tests, paired t tests, one-way and factorial ANOVA, and ANCOVA, with assumption checks built into the workflow: Levene and Brown-Forsythe variance tests run automatically, and Quanta selects classic, Welch, or Brown-Forsythe ANOVA based on what the variance check finds, with Kruskal-Wallis available when a nonparametric route fits better. Post-hoc pairwise comparisons use Tukey HSD with family-wise adjusted p-values. Correlation, regression, exploratory factor analysis, and data reduction extend the core. Scale reliability reports Cronbach's alpha with item-total diagnostics and honest framing, because reliability is evidence, not proof. Missing data is handled with multiple imputation. At the top of the ladder, Quanta runs structural equation modeling with confirmatory factor analysis, including path diagrams.

Every supported test reports frequentist results and Bayes factors side by side. A p-value can say when to doubt the null; it can never say when to believe it. The Bayes factor next to every test means a study that found nothing can state how strongly it found nothing, which changes what null results are worth in a manuscript.

Quanta is made for survey data. It imports CSV, TSV, Excel, Apple Numbers, and exports from survey platforms such as Qualtrics and Google Forms, and every analysis stays attached to the dataset it came from. Variables carry their types, scale items group into constructs, and the workflow moves from data preview through preparation to analysis without exporting and re-importing between tools.

Output is built for publication. Every analysis produces APA 7 formatted tables, correct down to the details reviewers check: statistical symbols italicized, probability values formatted by APA convention, no vertical rules, notes in order. An editable findings report assembles results into a document that moves into a manuscript without the hour of reformatting that usually sits between an output window and a paper. Charts export alongside the numbers they describe.

Accuracy is checkable rather than promised. Quanta's engine is validated against R, lavaan, mice, NIST reference datasets, and SPSS, with hundreds of parity tests run against those references, and the validation record is published with the product. When a dissertation committee or a journal reviewer asks whether the numbers can be trusted, the answer is a document, not a reassurance.

Privacy comes from architecture rather than policy. Analysis runs on the user's Mac. Research data never uploads to a server, and the network is used only to confirm the subscription. For IRB-covered work, that makes the data-handling section of a protocol a single sentence: the data stays on the researcher's machine.

Quanta is part of the ReliCheck ecosystem of research software. Findings produced in Quanta travel to ReliCheck Findings Studio on iPad, where each result carries its evidence strength into the meeting where it will be questioned. Quantitative strands feed ReliCheck MM Studio for mixed methods integration alongside qualitative work from ReliCheck Quala. Each product is complete for its own job, and researchers can enter the ecosystem at any point.

Quanta requires macOS 14 or later on Apple silicon. It is developed by ReliCheck, an independent, founder-owned company founded in 2011, built by researchers who spent their careers running the same kinds of studies its users run.