Take your SPSS analysis further with KbaseT

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 SPSS' statistics and applications that they are best used for, rather than a comprehensive review of all statistics.  

Alphabetical list of statistical procedures in SPSS for Windows

Not sure which product to use? Looking for a specific statistical procedure? Find the best statistical function for specific applications using the statistics/application grid as a quick reference.

• ANACOR - correspondence analysis; SPSS Categories
  
• ANOVA models - simple factorial; SPSS Base
  
• AREG - estimates a regression model when the error from the regression is correlated between one time point and the next; SPSS Trends
  
• ARIMA - produces maximum likelihood estimates for seasonal and non-seasonal univariate models; SPSS Trends
  
• Binary Logistic Regression - regresses a dichotomous dependent variable on a set of independent variables; SPSS Regression Models
  
• Bivariate (Correlate) - SPSS Base
  
• CATPCA - principal components analysis by means of alternating least squares; SPSS Categories
  
• Case Summaries (Reports) - SPSS Base
  
• Cluster - SPSS Base
  
• Confirmatory Factor Analysis - Amos
  
• CONJOINT - analyze score or rank data, estimate part-worth utilities for factors in full-profile conjoint design; SPSS Conjoint
  
• Constrained Nonlinear Regression - SPSS Regression Models
  
• Cox Regression - proportional hazards with time-dependent covariates; SPSS Advanced Models
  
• Crosstabs (Descriptive Statistics) - SPSS Base
  
• Curvefit - SPSS Base
  
• Descriptives (Descriptive Statistics) - SPSS Base
  
• Descriptive Ratio Statistics - SPSS Base
  
• Discriminant - SPSS Base
  
• Explore (Descriptive Statistics) - SPSS Base
  
• EXSMOOTH - exponential smoothing methods to estimate up to four parameters for your choice of 12 available models; SPSS Trends
  
• Factor - SPSS Base
  
• Fit - SPSS Base
  
• Frequencies (Descriptive Statistics) - SPSS Base
  
• GENLOG - generalized liner models; SPSS Advanced Models
  
• GLM - general linear model; SPSS Advanced Models
  
• Hierarchical Linear Models - see Linear Mixed Models
  
• HILOGLINEAR - hieararchical loglinear models for multiway contingency tables; SPSS Advanced Models
  
• HOMALS - homogeneity analysis via alternating least squares, multiple correspondence analysis; SPSS Categories
  
• Kaplan-Meier - estimate the length of time to an event; SPSS Advanced Models
  
• Linear Mixed Models - build model for data that display correlation and non-constant variability, such as data that represent students nested within classrooms or consumers nested within families; SPSS Advanced Models
  
• Linear Regression - SPSS Base
  
• LOGLINEAR - general models of multiway contingency tables; SPSS Advanced Models
  
• Means (Compare means) - SPSS Base
  
• Mixed Level Models - see Linear Mixed Models
  
• Modeling Statistics - SPSS Base
  
• Multidimensional Scaling (ALSCAL) - SPSS Base
  
• Multinomial Logistic Regression - regresses a categorical dependent variable on a set of independent variables; SPSS Regression Models
  
• Multiple Response - SPSS Base
  
• Nonparametric Tests - SPSS Base
  
• OLAP Cubes (Reports) - SPSS Base
  
• Oneway ANOVA (Compare means) - SPSS Base
  
• ORTHOPLAN - orthogonal main effects fractional plans for full-concept conjoint analysis; SPSS Conjoint
  
• OVERALS - nonlinear canonical correlation analysis on two or more sets of variables; SPSS Categories
  
• Partial (Correlate) - SPSS Base
  
• PLANCARDS - generate plan cards for experiments; SPSS Categories
  
• Polytomous Universal Models (PLUM) - model ordinal outcomes; SPSS Advanced Models
  
• Probit - dose response analysis and related models and LOGIT response models; SPSS Regression Models
  
• Proximities - SPSS Base
  
• PROXSCAL - proximities scaling; SPSS Categories
  
• Quick cluster - SPSS Base
  
• Random Effects Regression - see Linear Mixed Models
  
• Receiver Operating Characteristic (ROC) Analysis - SPSS Base
  
• Reliability - SPSS Base
  
• Report Summaries (Reports) - SPSS Base
  
• SEASON - estimates multiplicative or additive seasonal factors for periodic time series; SPSS Trends
  
• SEM - structural equation modelling; Amos
  
• SPECTRA - decomposes a time series into a harmonic component, a set of regular periodic functions at different wavelengths or periods; SPSS Trends
  
• Survival - analysis of life tables; SPSS Advanced Models
  
• t-tests (compare means) - SPSS Base
  
• Two-Stage Least Squares - SPSS Regression Models
  
• Unconstrained Nonlinear Regression - SPSS Regression Models
  
• VARCOMP - variance component estimation; SPSS Advanced Models
  
• Weighted Least Squares - SPSS Regression Models