SPSS | Statistics/Application Chart

Find the Best Statistics for Specific Applications

This chart is designed to help you find the best statistical function for specific applications. It's intended to be used as a review of the statistics in SPSS and the applications that they are best used for, rather than a comprehensive review of all statistics.

Anomaly detection for multivariate outliers			X					SPSS Data Preparation™
ANOVA models	X	X	X	X				SPSS Base
AREG						X		SPSS Trends™
ARIMA						X		SPSS Trends
Bayesian estimation-MCMC algorithm				X				Amos™
Binary logistic regression					X		X	SPSS Regression Models™
Bivariate (Correlate)	X	X						SPSS Base
Categorical regression				X			X	SPSS Categories™
CHAID	X	X		X	X		X	SPSS Classification Trees™
Cluster							X	SPSS Base
Complex samples descriptives	X	X						SPSS Complex Samples™
Complex samples general linear model (CSGLM)	X	X	X	X	X			SPSS Complex Samples
Complex samples logistic regression					X		X	SPSS Complex Samples
Complex samples ordinal regression							X	SPSS Complex Samples
Complex samples tabulate	X	X						SPSS Complex Samples
Confirmatory factor analysis	X	X	X	X				Amos
Conjoint				X	X		X	SPSS Conjoint™
Constrained nonlinear regression		X	X		X			SPSS Regression Models
Correspondence		X	X	X			X	SPSS Categories
Cox regression	X	X	X					SPSS Advanced Models™
Crosstabs	X	X		X			X	SPSS Base
Curvefit		X	X		X	X		SPSS Base
Custom tables	X	X	X	X				SPSS Tables™
Data imputation, including multiple imputation	X							Amos™
Descriptive (summarize)	X	X						SPSS Base
Descriptive ratio statistics		X						SPSS Base
DISCRIMINANT		X			X		X	SPSS Base
Enhanced SPSS Trends add-on module with Expert Modeler						X		SPSS Trends
Explore (Summarize)	X	X						SPSS Base
EXSMOOTH						X		SPSS Trends
Factor analysis	X	X	X					SPSS Base
Fit	X							SPSS Base
Frequencies	X	X	X					SPSS Base
Generalized estimating equations (GEEs)	X	X	X	X	X		X	SPSS Advanced Models
Generalized linear models (GENLIN)	X	X	X	X	X		X	SPSS Advanced Models
GENLOG		X	X				X	SPSS Advanced Models
General linear models (GLM)	X	X	X	X	X			SPSS Advanced Models
HILOGLINEAR		X	X				X	SPSS Advanced Models
Inferential statistics			X	X			X	SPSS Tables
Kaplan-Meier	X	X						SPSS Advanced Models
Linear mixed models	X	X	X	X	X	X		SPSS Advanced Models
Linear regression					X	X	X	SPSS Base
LOGLINEAR		X	X				X	SPSS Advanced Models
Means (compare means)	X	X	X	X				SPSS Base
Modeling statistics	X	X	X	X	X	X	X	SPSS Base
Multidimensional scaling (ASCAL)	X	X		X			X	SPSS Base
Multilayer perceptron (MLP)				X	X	X	X	SPSS Neural Networks
Multinomial logistic regression					X		X	SPSS Regression Models
Multiple correspondence analysis							X	SPSS Categories
Multiple response	X	X						SPSS Base
Naïve Bayes algorithm				X				SPSS Server
Nonparametric tests	X	X	X					SPSS Base
Oneway ANOVA	X	X	X	X				SPSS Base
Optimal Binning	X							SPSS Data Preparation
Ordinal regression							X	SPSS Base
ORTHOPLAN			X					SPSS Conjoint
OVERALS		X	X	X			X	SPSS Categories
Partial (Correlate)	X	X						SPSS Base
Predictor selection algorithm				X				SPSS Server
Probit					X		X	SPSS Regression Models
Proximities	X	X					X	SPSS Base
Quick cluster				X			X	SPSS Base
Radial basis function (RBF)				X	X	X	X	SPSS Neural Networks
Reliability	X	X						SPSS Base
Report summaries	X	X						SPSS Base
SEASON		X				X		SPSS Trends
Spectra	X	X	X				X	SPSS Base
Structural equation modeling (SEM)	X	X	X	X				Amos
Survival	X	X						SPSS Base
t tests	X	X	X					SPSS Base
Two-stage least squares						X		SPSS Regression Models
TwoStep cluster analysis				X	X		X	SPSS Base
Unconstrained Nonlinear Regression		X	X		X			SPSS Regression Models
Validate Data procedure	X							SPSS Data Preparation
VARCOMP			X					SPSS Advanced Models

To learn more:

Download the SPSS spec sheet (PDF)
Find products for data analysis and other stages of the analytical process
View an alphabetical list of the statistics in SPSS Base and the add-on modules

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Find the Best Statistics for Specific Applications