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IBM SPSS Amos v29 download with license key unlimited

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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 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.


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