- 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
-
The methods of assessment include case studies, examinations, quizzes, with a minimum passing score of 80%.
-
Instructional strategies include: audio visual materials, case studies, discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, lectures.
Endorsements
-
American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 3 Graduate college credits in Statistics. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in statistics in the graduate category