- Type Validation
- Level Advanced
- Time Weeks
Categorical Data Analysis (#641)
Issued by
Statistics.com
The course focuses on a logistic regression approach for analyzing contingency table data, where the cell entries represent counts that are cross-tabulated using categorical variables. It lays the groundwork for logistic regression models for binomial responses and goes on to introduce more complex data structures. Students get a broad view of the generalized linear model framework and are also exposed to several model variations.
- Type Validation
- Level Advanced
- Time Weeks
Earning Criteria
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The methods of assessment include case studies, examinations, quizzes, with a minimum passing score of 80%.
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Instructional strategies include: audio visual materials, case studies, discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, lectures.