This course focuses on statistical analysis methods and reporting of results when describing and comparing data from groups. Learners will explore the assumptions, advantages, limitations, and appropriate applications of these quantitative approaches. The methods covered will include comparison of means for various forms of data including multiple means using methods of basic and advanced factorial ANOVA. Multivariate comparisons will also be explored under conditions of multiple independent and dependent variables using techniques including Hotelling’s T 2, MANOVA, and related techniques. Depending on the learners’ needs, other approaches may be covered.
- Demonstrate understanding of how and when to use various quantitative data analysis procedures.
- Demonstrate understanding of nonparametric testing procedures and parallel parametric procedures and when to use them.
- Select appropriate data analysis procedures for a quantitative research design.
- Perform statistical analysis using the appropriate software.
- Interpret results of quantitative data analysis procedures.
- Evaluate the reliability and validity of quantitative data analysis procedures and result reporting.
This graduate-level course is 8 weeks This course is available as part of a degree or certificate program. To enroll, speak with an Enrollment Representative.
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