IBM SPSS Statistics 30

Bland Altman Analysis is used to visualize the difference in measurements between two different measurement techniques.The resulting graph is a scatter plot XY, in which the Y axis shows the difference between the two paired measurements (A-B) and the X axis represents the average of these measures ((A+B)/2). In other words, the difference of the two paired measurements is plotted against the mean of the two measurements.

In v30, Normality Analytics has been enhanced to assess whether the data follows a normal distribution. It now includes Multivariate Normality Tests (Mardia / Royston / Henze-Zirkler / Doornik-Hansen / Energy), Multivariate Plots (Chi-Square Q-Q Plot / Perspective Plot / Contour Plot), Univariate Normality Tests (Anderson-Darling / Shapiro-Wilk / Shapiro-Francia / Lilliefors (Kolmogorov-Smirnov) / Cramér-von Mises), and Univariate Plots (Histogram / Box Plot / Q-Q Plot / Scatter Plot).

SPSS Statistics v30 introduces a design feature that switches the app's background to a darker color which reduces light emitted by device screens.Especially in low light conditions, Dark Mode is easier on the eyes, minimizing glare and making it more comfortable for prolonged use.It also provides a stylish, contemporary look that appeals to design conscious users.

In SPSS Statistics v30, the application's startup performance has been improved. By upgrading the Java Runtime Environment (JRE) version and increasing the heap memory, the startup time has been significantly reduced. Additionally, language translation issues have been addressed, particularly the Korean translation errors found in the Analysis Menu and Analysis Results on Mac, Windows, and Linux platforms. Furthermore, the R language runtime has been upgraded from version 4.2.2 to 4.4.0.