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.