SPSS Statistics 29 IBM SPSS Statistics 29
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SPSS Statistics 29 IBM SPSS Statistics 29


Includes the following:

IBM SPSS Base
IBM SPSS Advanced Statistics
IBM SPSS Regression
IBM SPSS Bootstrapping
IBM SPSS Data Collection
No limitation on the number of variables or cases
Be sure you have all the add-ons needed for your course or dissertation! The Standard version does not include all add-ons available and you may not purchase them separately or at a later time. Consider the Grad Pack Premium.
What’s new in SPSS V29?

Several new extensions
New modeling tools
Workbook mode enhancements
Search enhancements
PLEASE NOTE: Will not run on the following:
Windows Vista
Windows XP
Chromebooks
IPads
Android tablets
Smartphones
IBM SPSS Base Overview, Features and Benefits
Descriptive Statistics

Crosstabulations – Counts, percentages, residuals, marginals, tests of independence, test of linear association, measure of linear association, ordinal data measures, nominal by interval measures, measure of agreement, relative risk estimates for case control and cohort studies.
Frequencies – Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values.
Descriptives – Central tendency, dispersion, distribution and Z scores.
Descriptive ratio statistics – Coefficient of dispersion, coefficient of variation, price-related differential and average absolute deviance.
Compare means – Choose whether to use harmonic or geometric means; test linearity; compare via independent sample statistics, paired sample statistics or one-sample t test.
ANOVA and ANCOVA – Conduct contrast, range and post hoc tests; analyze fixed-effects and random-effects measures; group descriptive statistics; choose your model based on four types of the sum-of-squares procedure; perform lack-of-fit tests; choose balanced or unbalanced design; and analyze covariance with up to 10 methods.
Correlation – Test for bivariate or partial correlation, or for distances indicating similarity or dissimilarity between measures.
Nonparametric tests – Chi-square, Binomial, Runs, one-sample, two independent samples, k-independent samples, two related samples, k-related samples.
Explore – Confidence intervals for means; M-estimators; identification of outliers; plotting of findings.