Introducing JASP 0.16.4: Sync SQL databases, Bland-Altman Plots, Improvements to Factor Analysis, and More.

We are happy to announce that JASP 0.16.4 has been released and is now available on our download page. JASP 0.16.4 contains the following new features and improvements:

  • JASP can now load data directly from databases like IBM DB2, Oracle, MySQL, MariaDB, Postgres, SQLite, and any database supporting the ODBC interface.

  • Bland-Altman Plots have been added to the Reliability module. Developed by Luca Thoms, this graphical method can be used to compare two measurement methods.

  • The newly added Bayesian Z-Tests analysis allows researchers to quickly re-evaluate the evidence in favor of the null or alternative hypothesis. Furthermore, the analysis offers a heatmap visualization of the evidence in favor of a range of alternative hypotheses, allowing researchers to assess the plausibility of different claims and evaluate the robustness of the conclusions.

  • The Exploratory Factor Analysis within the Factor module has been extended by Franco Tisocco with the following features: Analysis of ordinal variables, polychoric/tetrachoric correlation matrix to use as starting point, a table with the detailed results of the parallel analysis, and Mardia’s test to investigate multivariate normality.

  • Contingency tables now also contain residuals.
  • T-tests now display standard errors for effect sizes.
  • Path coefficients have been added to mediation analysis – now not only direct/indirect/total effects are shown, but all paths in a mediation model can be displayed.

These are just a few highlights — JASP 0.16.4 contains much more. For a complete list of features, improvements and bug fixes view our release notes.

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