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What’s next for IBM SPSS Statistics

Proximity Mapping

It enables users to visualize and analyze the relationships
between entities based on their proximity in multi-
dimensional space. By considering various variables
simultaneously, this feature goes beyond simple location
analysis to reveal complex interdependencies.

Read more here

Distance correlation

It is is a measure of statistical dependence between two random variables or datasets that captures both linear and nonlinear relationships. Distance correlation accounts for complex associations, making it useful in high-dimensional data analysis. Read more here

time series filtering

Time series filtering separates signal from noise in time- ordered data. It involves examining data points collected at regular intervals while removing noise to extract useful information from the data, allowing for better understanding and forecasting of trends and patterns.
Read more here

curated help

Also known as Smart Output it gets activated when correlation
procedure is performed over a dataset that helps users get
more cues without having to memorize values and its range
and smartly interpret the type of correlation.

conditional inference trees

Conditional inference trees are better at determining the true
effect of predictors by considering all other effects
simultaneously. These uses statistical tests to select variables
for splitting the data. This method avoids biases associated
with traditional decision trees.

STATS Earth

STATS EARTH constructs predictive models by fitting piecewise
linear segments and one-hot encoded dummy variables to
model nonlinearities and interactions.

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