Features
A full analysis suite, native to your Mac
The methods social, behavioral, and health researchers actually use, grouped by what you are trying to do, with the setup on the right and results in the center.
Descriptives & Explore
Means, distributions, frequencies, cross-tabs, normality (Shapiro-Wilk, Lilliefors), stem-and-leaf, demographic tables.
Compare Means
One-sample / Welch / Student / paired t-tests, one-way and factorial ANOVA, ANCOVA, and within-subjects repeated-measures ANOVA with sphericity corrections.
Bayesian, side by side
Frequentist and Bayesian results together: JZS Bayes factors for t-tests, Bayes factors for correlation and regression, one-way ANOVA (Rouder's method), and a clearly labeled BIC-approximate Bayes factor for SEM. Quantify evidence for the null, not just against it. Validated against published reference results.
Correlation
Pearson, Spearman, Kendall, and partial correlation, plus an APA correlation matrix.
Regression
Linear (OLS), logistic, Poisson, and ordinal (proportional-odds) regression with effect sizes and diagnostics.
Scale & Reliability
Cronbach's alpha and McDonald's omega, item-total statistics, alpha-if-deleted, reverse coding, and automatic scale-item detection.
Data Reduction
Principal components, exploratory factor analysis (with varimax), and cluster analysis (k-means, hierarchical).
Nonparametric & Categorical
Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman, chi-square, Fisher exact, and McNemar.
Multivariate
MANOVA, discriminant analysis, and canonical correlation.
SEM & CFA
Structural equation modeling and confirmatory factor analysis with a live path diagram, written in reproducible model syntax.
Survey Weights
Design-based estimates with strata and clusters (Taylor-linearized standard errors, design df, deff).
Data Quality
Missing-data diagnostics and Little's MCAR, multiple imputation (MICE, Rubin-pooled), out-of-range and duplicate checks.