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Correlation- Test for bivariate or partial correlation, or for distances indicating similarity or dissimilarity between measures. .. Built-in techniques Identify and eliminate duplicate cases and restructure your data files prior to analysis. You can be confident that you’ll always have the analytic tools you need to get the job done quickly and effectively. Obtain more accurate results faster, and increase productivity and effectiveness. Factor Analysis- Used to identify the underlying variables, or factors, that explain the pattern of correlations within a set of observed variables. 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.
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