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Statistical Procedures in SPSS for Windows
Looking for a specific statistical procedure? Check the alphabetical list below to see if it's included in SPSS Base or the add-on modules. You can also find the best statistic for specific applications.
- ALSCAL multidimensional scaling - SPSS Base
- Anomaly Detection- SPSS Data Preparation™
- ANOVA (analysis of variance) models - simple factorial - SPSS Base
- AREG - SPSS Trends™
- ARIMA (autoregressive integrated moving average) - SPSS Trends
- Bayesian estimation with Markov chain Monte Carlo (MCMC) algorithm - Amos™
- Binary logistic regression - SPSS Regression Models™
- Bivariate (correlate) - SPSS Base
- CAPTCA (categorical principal components analysis) - SPSS Categories™
- Case summaries (reports) - SPSS Base
- CHAID - SPSS Classification Trees™
- Classification & regression trees (C&RT) - SPSS Classification Trees
- Cluster - SPSS Base
- Complex samples descriptives - SPSS Complex Samples™
- Complex samples general linear models - SPSS Complex Samples
- Complex samples logistic regression - SPSS Complex Samples
- Complex samples ordinal regression - SPSS Complex Samples
- Complex samples tabulate - SPSS Complex Samples
- Confirmatory factor analysis - Amos
- Conjoint - SPSS Conjoint™
- Constrained nonlinear regression (CNLR) - SPSS Regression Models
- Correspondence analysis - SPSS Categories
- Cox regression - SPSS Advanced Models™
- Crosstabs (descriptive statistics) - SPSS Base
- Curve estimation - SPSS Base
- Descriptive statistics - SPSS Base
- Descriptive ratio statistics - SPSS Base
- Discriminant - SPSS Base
- Exact tests - a number of tests and statistics for working with small samples and analyzing rare occurences in large databases - SPSS Exact Tests™
- Exhaustive CHAID - SPSS Classification Trees
- Explore (descriptive statistics) - SPSS Base
- EXSMOOTH (exponential smoothing) - SPSS Trends
- Factor - SPSS Base
- Fit - SPSS Base
- Frequencies (descriptive statistics) - SPSS Base
- GEE (generalized estimating equation) - SPSS Advanced Models
- GENLOG (loglinear and logit models to count data by means of a generalized linear models approach) - SPSS Advanced Models
- GLM (general linear models) - SPSS Advanced Models
- GZLM (generalized linear model) - SPSS Advanced Models
- HLM (hierarchical linear models) - see linear mixed models
- HILOGLINEAR (hierarchical loglinear models) - SPSS Advanced Models
- HOMALS - now called multiple correspondence analysis - SPSS Categories
- Inferential statistics - SPSS Tables
- Kaplan-Meier - SPSS Advanced Models
- Linear mixed models - 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
- Multinomial logistic regression (MLR) - SPSS Regression Models
- Multiple correspondence analysis - previously called HOMALS - SPSS Categories
- Multiple response - SPSS Base
- Naïve Bayes algorithm - SPSS Server
- Nonlinear regression (NLR) - SPSS Regression Models
- Nonparametric tests - SPSS Base
- OLAP cubes (reports) - SPSS Base
- Oneway ANOVA (compare means) - SPSS Base
- Ordinal regression (PLUM) - SPSS Base
- Orthoplan - SPSS Conjoint
- Overals - SPSS Categories
- Partial (correlate) - SPSS Base
- Plancards - SPSS Categories
- Predictor selection algorithm - SPSS Server
- Preference scaling (PREFSCAL) - syntax only - SPSS Categories
- Probit - SPSS Regression Models
- Proximities - SPSS Base
- PROXSCAL (multidimensional scaling) - SPSS Categories
- QUEST - SPSS Classification Trees
- 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 - SPSS Trends
- SEM (structural equation modeling) - Amos
- SPECTRA - SPSS Trends
- Survival analysis procedures - SPSS Advanced Models
- t tests (compare means) - SPSS Base
- Two-stage least squares (2SLS) - SPSS Regression Models
- TwoStep cluster - SPSS Base
- VARCOMP (variance component estimation) - SPSS Advanced Models
- Validate Data procedure - SPSS Data Preparation
- Weighted least squares (WLS) - SPSS Regression Models
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