Quanta reads .sav files directly. Your data and variable types carry over, your analyses run natively on your Mac, and the output comes out APA 7 ready. Nothing to convert, nothing to re-enter.
SPSS Statistics 32.0.0 is an Intel application, so on an M-series Mac it runs through Rosetta 2 translation. IBM has said a native Apple silicon build arrives in 32.0.1, planned for September 2026.
Native is worth having, and by then most of the field will have it. Stata, JMP, jamovi, JASP, and R all ship Apple silicon builds today. So "runs natively" is becoming the floor rather than the difference.
The difference is what the software was designed around. Quanta was written for this machine: Swift and SwiftUI, Apple's own math frameworks doing the arithmetic, no R or Python underneath, and no environment to maintain. That is why there is no install ritual, why it opens and works offline, and why the analysis you ran this morning is still there when you reopen the file this afternoon.
If you are moving because your Mac changed, the move costs you an afternoon, and your files come with you.
File › Import Data (⌘I), or drop the file on the Welcome screen. Variable names, labels, and measurement levels come with it. Stata (.dta), Excel, CSV, and TSV work the same way.
Quanta detects types on import; the Variable Roles panel is where you confirm scales, nominals, and ordinals before anything runs. Two minutes, and it protects every analysis after it.
Reliability, t-tests, ANOVA, correlation, regression, factor analysis, SEM, nonparametrics, and more. Setup on the right, results in the center, a plain-language read under each one.
Results land as APA 7 tables in an editable report you export to Word, PDF, or RTF. The hour you used to spend reformatting output is the hour you get back.
No license server, no syntax window required, no environment to maintain. One signed Mac app, working offline, with a 30-day trial that needs no account. And each statistic carries a published validation record, so you can defend the numbers the same way you always have.
Data files move; output files and custom syntax scripts do not. If your workflow depends on long production syntax jobs, keep them where they run. If your workflow is analyze, interpret, and report, the move takes an afternoon.