Prerequisites: 1 semester of graduate-level statistics (e.g., 90-711 Empirical Methods for Public Policy and Management, 90-786 Intermediate Empirical Methods for Public Policy and Management, 91-801 Data Analysis for Managers, 12-704 Probability and Estimation Methods for Engineering Systems) Survey Design and Analysis is structured to provide the student with both theoretical and practical knowledge of survey research design, data collection, and basic data analysis. Specific topics will include experimental and quasi-experimental design; survey design; survey sampling; measurement; questionnaire construction; methods of administering surveys; sources of error in surveys; and estimation and hypothesis testing for means, proportions, and correlations. Where possible, examples from real-world surveys will be used to illustrate these concepts. Students taking this course will develop the design and analysis skills necessary to conduct research projects involving surveys. Please note: This course will be taught concurrently with a semester-length course on research design and data analysis (Research Methods and Statistics for Engineering Policy; 19-708). 19-708 will continue where 90-875 leaves off, and will cover more advanced statistical procedures (e.g., factor analysis), many of which are relevant to the analysis of survey data.
