SPSS Statistics Modules

Below description below is features of each SPSS Module

IBM SPSS Statistics Base
Descriptive statistic, correlation, non-parametric test, reliability analysis, univariate analysis (t-test, one-way ANOVA, etc) & multivariate analysis (cluster, discriminant, factor analysis, linear regression), control charts, ESRI map files.

IBM SPSS Regression
Multinomial/binomial logistic regression, probit, weighted least square, two stage least square.

 

IBM SPSS Direct Marketing
Improve the results of direct marketing campaigns by identifying demographic, purchasing, and other characteristics that define various groups of consumers and targeting specific groups to maximize positive response rates.

IBM SPSS Categories
Correspondence analysis, perceptual mapping, multidimensial scaling.

IBM SPSS Forecasting
Time series analysis forecasting.

 

IBM SPSS DecisionTrees
Creates classification and decision trees to identify groups, discover relationships between groups, predict future events.

IBM SPSS Custom Tables
Present results in easy to understand tables with all the statistics you want.

IBM SPSS Conjoint
Preference surveys.

IBM SPSS Advanced Statistics
Advanced modelling capabilities such as Anova, Manova, Mancova, survival modeling.

IBM SPSS Data Preparation
To validate data in the working data file.

IBM SPSS Neural Networks
Machine learning algorithm for predictive modeling.

IBM SPSS Complex Samples
Design, analyze and interpret non-random surveys. Correctly and easily compute statistics for complex sampling.

IBM SPSS Exact Test
Conduct reliable analyses using small numbers of cases.

IBM SPSS Missing Values
Estimate what the value would be if data weren’t missing.

IBM SPSS Bootstrapping
Helps you create more reliable models that generate the most accurate results; ensure the stability of your models.

IBM SPSS Developer
Allows R algorithms to be wrapped in SPSS syntax.

 

This entry was posted in SPSS Statistics and tagged , , , . Bookmark the permalink.