SAMPLING, DESIGN, AND ANALYSIS OF SURVEY DATA
2023 Spring Term
Practical issues in sampling, applied survey research, analysis of complex survey data, and professional reporting are emphasized. Topics include random and non-random sampling, parameter estimation, bias, questionnaire design and wording, psychology of participant response, data imputation, weighting, finite population correction, analysis of categorical data and hierarchical linear models. Students will conduct survey research and complete a data analysis project.
Other Requirements: PREREQ: STAT 342 WITH A GRADE OF C OR BETTER
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- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
|Section Details||Meeting Details & Topic||Instructor||Syllabus|
|01/23 - 05/06 (1)||TuTh 9:30 AM - 10:45 AM||