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IBM SPSS Amos v29 download with license key unlimited
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 BenefitsDescriptive 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.
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