Create More Reliable Models and Generate More Accurate Results

IBM® SPSS® Bootstrapping makes it simple to test the stability and reliability of your models so that they produce accurate, reliable results.

Whether you conduct academic or scientific research, study issues in the public sector or provide the analyses that support business decisions, it's important that your models are stable. Test model stability quickly and easily with IBM SPSS Bootstrapping. With IBM SPSS Bootstrapping, you can:

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IBM SPSS Bootstrapping helps reduce the impact of outliers and anomalies that can degrade the accuracy or applicability of your analysis. As a result, you have a clearer view of your data for creating the model you are working with.

We highly recommend using IBM SPSS Bootstrapping with IBM SPSS Statistics Base. IBM SPSS Bootstrapping works with a number of analytical procedures in the IBM SPSS Statistics product family, including:


Descriptive FeaturesProduct
Descriptives IBM SPSS Statistics Base
Frequencies IBM SPSS Statistics Base
Examine IBM SPSS Statistics Base
Means IBM SPSS Statistics Base
Crosstabs IBM SPSS Statistics Base
tests IBM SPSS Statistics Base
Correlations/Nonparametric correlations IBM SPSS Statistics Base
Partial Correlations IBM SPSS Statistics Base

Modeling ProceduresProduct
One-way IBM SPSS Statistics Base
UniAnova IBM SPSS Statistics Base
Linear Regression IBM SPSS Statistics Base
Discriminant IBM SPSS Statistics Base
General Linear Models IBM SPSS Advanced Statistics
Generalized Linear Models IBM SPSS Advanced Statistics
Linear Mixed Models IBM SPSS Advanced Statistics
Cox Regression IBM SPSS Advanced Statistics
Nominal Regression IBM SPSS Regression
Logistic Regression Binary, Multinomial IBM SPSS Regression
Logistic and Ordinal Regression IBM SPSS Regression

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