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Multivariate Statistics –

res765

(3 credits)

Course Description This course focuses on statistical approaches that simultaneously examine multiple variables. Learners will explore the assumptions, limitations, advantages, and applications of each approach. The approaches will include regression, discriminant function and analysis, multidimensional scaling, MANOVA, factor analysis, and structural equation modeling.

Course Competencies


  • Evaluate different approaches of multivariate statistical analysis.
  • Analyze problems appropriate for multivariate research within existing scholarly research studies and real world situations.
  • Apply appropriate multivariate statistical analyses to scholarly research.
  • Explore the distinctions between inferential and multivariate statistics within various research contexts.
  • Interpret results of various multivariate statistical analyses.
This graduate-level course is 8 weeks. To enroll, speak with an Enrollment Advisor.
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