George Mason University – Graduate Council Approval Form Graduate Course All courses numbered 500 or above must be submitted to the Graduate Council for final approval after approval by the sponsoring College, School or Institute. Graduate Council requires submission of this form for a new course or any change to existing courses. For a new course, please attach a copy of the syllabus and catalog description (with catalog credit format, e.g. 3:2:1). The designated representative of the College, School or Institute should forward the form along with the syllabus and catalog description, if required, as an email attachment (in one file) to the secretary of the Graduate Council. A printed copy of the form with signatures and the attachments should be brought to the Graduate Council meeting. Please complete the Graduate Course Coordinator Form if the proposed changes will affect other units. Note: Colleges, Schools or Institutes are responsible for submitting new or modified catalog descriptions (35 words or less, using catalog format) to Creative Services by deadlines outlined in the yearly Catalog production calendar. Please indicate: New___X____ Modify_______ Delete_______ Department/Unit:__Health Administration and Policy/CHHS_ Course Subject/Number:___HAP _821_______ Submitted by: _Yiota Kitsantas_ Ext:_3-1964__ Email:_pkitsant@gmu.edu_____ Course Title:_Analysis of Categorical Data in Health Policy and Administration Research___ Effective Term (New/Modified Courses only):_fall 2008 Final Term (deleted courses only):_____ Credit Hours: (Fixed) __3__ (Var.) ______ ___X__ Regular graduate (A, B, C, etc.) to ______ Grade Type (check one): _____ Satisfactory/No Credit only _____ Special graduate (A, B, C, etc. + IP) Repeat Status*(check one): ___ NR-Not repeatable ____ RD-Repeatable within degree ____ RT-Repeatable within term *Note: Used only for special topics, independent study, or internships courses Total Number of Hours Allowed: _6______ Schedule Type Code(s): 1._LEC_ LEC=Lecture SEM=Seminar STU=Studio INT=Internship IND=Independent Study 2.____ LAB=Lab RCT=Recitation (second code used only for courses with Lab or Rct component) Prereq ___ Coreq ___ (Check 0ne) Healthcare Financial Management or Equivalent or Instructor’s Permission ________________________________________________________________________ __________________ Note: Modified courses - review prereq or coreq for necessary changes; Deleted courses - review other courses to correct prereqs that list the deleted course. Description of Modification (for modified courses):____________________________________________________________________ Special Instructions (major/college/class code restrictions, if needed):__________________________________________ Department/Unit Approval Signature:_________________________________________ Date: _____________ College/School Committee Approval Signature:__________________________________ Date:_____________ Graduate Council Approval Date:____________ Provost Office Signature:_________________________________ George Mason University Coordination Form Graduate Course Approval from other units: Please list those units outside of your own who may be affected by this new, modified, or deleted course. Each of these units must approve this change prior to its being submitted to the Graduate Council for approval. Unit: Head of Unit’s Signature: Date: Unit: Head of Unit’s Signature: Date: Unit: Head of Unit’s Signature: Date: Unit: Head of Unit’s Signature: Date: Unit: Head of Units Signature: Date: Graduate Council approval: ______________________________________________ Date: ____________ Graduate Council representative: __________________________________________ Date: ____________ Provost Office representative: ____________________________________________ Date: ____________ GEORGE MASON UNIVERSITY College of Health and Human Services Department of Health Administration and Policy Course Number: HAP 821 (3 credits): 3:3:0 Course Title: Research Analysis of Categorical Data in Health Policy and Administration Prerequisite: HAP 710 or equivalent statistics course. Course Description: An advanced statistics course in analysis of categorical data. Topics include tests and measures of association for contingency table analysis including chisquare, odds ratio, relative risk; comparative trials; analysis of categorical data with matched samples; loglinear models and logistic regression. Econometric models involving categorical variables could also be covered. Course Objectives: Upon completion of this course, students will be able to: 1. Perform logistic regression analyses with multiple predictors. 2. Apply log-linear models in analyzing contingency tables. 3. Apply graphical models and related ideas to organize log-linear modeling. 4. Perform analyses of contingency tables using chi-square, odds ratio and relative risk. 5. Identify visual and other methods for assessing the adequacy of the fitted model 6. Interpret statistical outputs. 7. Describe the methods and results to a non-statistical reader. Teaching Strategies: Lecture Discussions Lab work Group assessments Required Textbook/Assigned Reading: Agresti, A. (2007) An Introduction to Categorical Data Analysis.Wiley Other Texts Christensen, R. (1997). Log-linear models and logistic regression. 2nd edition. Springer. Edwards, D. (2000). Introduction to graphical modeling. 2nd edition.Springer. Simonoff, J.(2003). Analyzing Categorical Data. Springer. Wasserman, L. (2004). All of Statistics: A Concise Course in Statistical Inference. Springer. Evaluation: Exams Homework Article reviews Projects Policies and Guidelines Honor code: “To promote a stronger sense of mutual responsibility, respect, trust, and fairness among all members of the George Mason University community and with the desire for greater academic and personal achievement, we, the student members of the university community, have set forth this honor code: Student members of the George Mason University community pledge not to cheat, plagiarize, steal, or lie in matters related to academic work” (George Mason University Catalog, 2006-2007, p. 31). 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