Design your instrument, distribute it, collect responses — then receive a statistical analysis matched to SPSS, with APA tables and interpretation ready for your results chapter.
The platform examines your data's distribution first, then recommends the right method and explains why — you don't need to be a statistician to choose well.
Reliability for the whole instrument and each dimension, with alpha-if-item-deleted to expose weak items before final distribution.
We check distribution skew, recommend Pearson or Spearman, and record the reason in your report to cite for reviewers.
Levene's test automatically decides whether Welch correction applies — exactly as in SPSS — with effect size included.
Differences by qualification or experience, with post-hoc comparisons pinpointing exactly where the difference lies.
Beta coefficients with collinearity checks, and mediation via Bootstrap rather than the outdated Sobel test.
Do your items group into the dimensions you hypothesised? Loadings and fit indices answer.
The list above is abridged — the library holds 46 methods, each surfacing when your data calls for it.
So every function is tuned to SPSS's own formulation — sample standard deviation, bias-corrected skewness, Levene centred on the median rather than the mean. Each function has an automated test against a reference output; if a single digit differs, the update ships nowhere.
Three stages, each building on the last — nothing re-entered.
Define your independent, dependent and mediating variables; dimensions generate with their codes, ready for you to add items and sub-dimensions beneath.
A link and QR code open a polished survey for respondents — with your welcome video if you wish, and a progress bar that keeps them going.
APA tables with written interpretation, print-quality figures, and export to Word, PDF, Excel and an SPSS file.
Create your account free and design your first instrument today. No card required.