User Guide

SPSS Advanced Models™ focuses on techniques often used in sophisticated
experimental and biomedical research. It includes procedures for general linear
models (GLM)
, linear mixed models, variance components analysis, loglinear
analysis, ordinal regression, actuarial life tables, Kaplan-Meier survival analysis,
and basic and extended Cox regression.
SPSS Tables
™
creates a variety of presentation-quality tabular reports, including
complex stub-and-banner tables and displays of multiple response data.
SPSS Trends™ performs comprehensive forecasting and time series analyses with
multiple cu
rve-fitting models, smoothing models, and methods for estimating
autoregressive functions.
SPSS Categories® performs optimal scaling procedures, including correspondence
analysis.
SPSS Conjoint™ performs conjoint analysis.
SPSS Exact Tests™ calculates exact p values for statistical tests when small or very
unevenly d
istributed samples could make the usual tests inaccurate.
SPSS Missing Value Analysis™ describes patterns of missing data, estimates means
and other statistics, and imputes values for missing observations.
SPSS Maps™
turns your geographically distributed data into high-quality maps with
symbols, colors, bar charts, pie charts, and combinations of themes to present not
only what is happening but where it is happening.
SPSS Comp
lex Samples™
allows survey, market, health, and public opinion
researchers, as well as social scientists who use sample survey methodology, to
incorporate their complex sample designs into data analysis.
SPSS Clas
sification Tree™
creates a tree-based classification model. It classifies
cases into groups or predicts values of a dependent (target) variable based on values
of independent (predictor) variables. The procedure provides validation tools for
explora
tory and confirmatory classification analysis.
The SPSS family of products also includes applications for data entry, text analysis,
classification, neural networks, and flowcharting.
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