SPSS Statistics Base 17.0 User’s Guide PDF

SPSS Statistics Options
The following options are available as add-on enhancements to the full (not Student Version)
SPSS Statistics Base system:
Regression provides techniques for analyzing data that do not fit traditional linear statistical
models. It includes procedures for probit analysis, logistic regression, weight estimation,
two-stage least-squares regression, and general nonlinear regression.
Advanced Statistics 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.
Custom Tables creates a variety of presentation-quality tabular reports, including complex
stub-and-banner tables and displays of multiple response data.
Forecasting performs comprehensive forecasting and time series analyses with multiple
curve-fitting models, smoothing models, and methods for estimating autoregressive functions.
Categories performs optimal scaling procedures, including correspondence analysis.
Conjoint provides a realistic way to measure how individual product attributes affect consumer and
citizen preferences. With Conjoint, you can easily measure the trade-off effect of each product
attribute in the context of a set of product attributes—as consumers do when making purchasing

Access (Microsoft), 16
active file, 60, 62
caching, 62
creating a temporary active file, 62
virtual active file, 60
active window, 4
adding group labels, 229
adjusted R2
in Linear Regression, 349
aggregating data, 175
aggregate functions, 178
variable names and labels, 178
algorithms, 10
alignment, 78, 205, 496
in Data Editor, 78
output, 205, 496
alpha coefficient
in Reliability Analysis, 460, 462
alpha factoring, 398
analysis of variance
in Curve Estimation, 359
in Linear Regression, 349
in Means, 300
in One-Way ANOVA, 314
Anderson-Rubin factor scores, 400
Andrews’ wave estimator
in Explore, 283
in GLM Univariate, 320
in Means, 300
in One-Way ANOVA, 314
model, 322
aspect ratio, 502
custom variable attributes, 80
automated production, 544
autoscripts, 507, 579
associating with viewer objects, 581
Basic, 591
creating, 580
Python, 585
trigger events, 580
average absolute deviation (AAD)
in Ratio Statistics, 473
background color, 242
backward elimination
in Linear Regression, 344
banding, 116
bar charts
in Frequencies, 276
Bartlett factor scores, 400
Bartlett’s test of sphericity
in Factor Analysis, 397
basic steps, 8
beta coefficients
in Linear Regression, 349
binning, 116
Binomial Test, 425
command additional features, 427
dichotomies, 425
missing values, 426
options, 426
statistics, 426
Bivariate Correlations
command additional features, 334
correlation coefficients, 332
missing values, 334
options, 334
significance level, 332
statistics, 334
block distance
in Distances, 340
Blom estimates, 141
BMP files, 210, 221
exporting charts, 210, 221
in GLM, 326
in One-Way ANOVA, 316
borders, 239, 246
displaying hidden borders, 246
comparing factor levels, 284
comparing variables, 284
in Explore, 284
Box’s M test
in Discriminant Analysis, 390
break variables
in Aggregate Data, 175
Brown-Forsythe statistic
in One-Way ANOVA, 318
build terms, 322, 358
caching, 62
active file, 62
Cancel button, 7
captions, 244–245
case-control study
Paired-Samples T Test, 310
cases, 87, 185
finding duplicates, 113
finding in Data Editor, 88


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