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SURV Survey Methodology( Behavioral and Social Sciences) SURV400 Fundamentals of Survey Methodology; (3 credits) Grade Method: REG.Prerequisite: STAT100 or permission of department. Credit will be granted for only one of the following: SURV699M or SURV400. Formerly SURV699M. Introduces the student to a set of principles of survey design that are the basis of standard practices in the field. The course exposes the student to both observational and experimental methods to test key hypotheses about the nature of human behavior that affect the quality of survey data. It will also present important statistical concepts and techniques in simple design, execution, and estimation, as well as models of behavior describing errors in responding to survey questions. Not acceptable to graduate degrees in SURV. SURV410 Introduction to Probability Theory; (3 credits) Grade Method: REG/P-F/AUD. Prerequisite: MATH240; and MATH241 or permission of department. Also offered as STAT410. Credit will be granted for only one of the following: SURV410 or STAT410. Probability and its properties. Random variables and distribution functions in one and several dimensions. Moments, characteristic functions, and limit theorems. SURV420 Introduction to Statistics; (3 credits) Grade Method: REG/P-F/AUD. Prerequisite: SURV410 or STAT410. Also offered as STAT420. Credit will be granted for only one of the following: STAT420 or SURV420. Mathematical statistics, presenting point estimation, sufficiency, completeness, Cramer-Rao inequality, maximum likelihood, confidence intervals for parameters of normal distributions, chi-square tests, analysis of variance, regression, correlation, and nonparametric methods. Course is offered in the spring semester only. SURV616 Statistical Methods II; (3 credits) Grade Method: REG/AUD. Prerequisite: SURV 615. Builds on the introduction to linear models and data analysis provided in Statistical Methods I. Topics include analysis of longitudinal data and time series, categorical data analysis and contingency tables, logistic regression, log-linear models for counts, statistical methods in epidemiology, and introductory life testing. SURV625 Applied Sampling; (3 credits) Grade Method: REG/AUD. Prerequisite: statistics course approved by the department. Practical aspects of sample design. Topics include: probability sampling (including simple random, systematic, stratified, clustered, multistage and two-phase sampling methods), sampling with probabilities proportional to size, area sampling, telephone sampling, ratio estimation, sampling error estimation, frame problems, nonresponse, and cost factors. This coure will be held at BLS Conference Center, Meeting Room 9, Washington DC. SURV630 Questionnaire Design; (3 credits) Grade Method: REG/AUD. The stages of questionnaire design; developmental interviewing, question writing, question evaluation, pretesting, and questionnaire ordering and formatting. Reviews of the literature on questionnaire construction, the experimental literature on question effects, and the psychological literature on information processing. Examination of the diverse challenges posed by self versus proxy reporting and special attention is paid to the relationship between mode of administration and questionnaire design. SURV640 (PermReq) Survey Practicum I; (2 credits) Grade Method: REG. Prerequisite: SURV640 and SURV641 must be taken in consecutive semesters. Restrictedto degree seeking students in JPSM or permission of the instructor. For SURV majors only. Credit will be granted for only one of the following: SURV620 or SURV640. Formerly SURV620. First part of an applied workshop in sample survey design, implementation, and analysis. Problems of moving from substantive concepts to questions on a survey questionnaire, designing a sample, pretesting and adminstering the survey. SURV650 Economic Measurement; (3 credits) Grade Method: REG/AUD. Prerequisite: One coure in intermediate microeconomics. Credit will be granted for only one of the following: SURV650 or SURV699L. Formerly SURV699L. An introduction to the field of economic measurement. Sound economic data are of critical importance to policymakers, the business community, and others. Emphasis is placed on the economic concepts that underlie key economic statistics and the translation of those concepts into operational measures. Topics addressed include business survey sampling; the creation of business survey sampling frames; the collection of data from businesses; employment and earnings statistics; price statistics; output and productivity measures; the national accounts; and the statistical uses of administrative data. Lectures and course readings assume prior exposure to the tools of economic analysis. SURV699 Special Topics in Survey Methodology: Readings in Survey Methodology; (1-4 credits) Grade Method: REG/AUD. SURV699D Special Topics in Survey Methodology: Envisioning the Survey Interview of the Future; (1-4 credits) Grade Method: REG/AUD. SURV699M Special Topics in Survey Methodology: Measurement Error Methods; (1-4 credits) Grade Method: REG/AUD. SURV721 Total Survey Error II; (2 credits) Grade Method: REG/AUD. Prerequisite: SURV720. Degree seeking in JPSM or permission of instructor. Credit will be granted for only one of the following: SURV720 and SURV721; or SURV723. Formerly SURV723. Second part of a review of total survey error structure of sample survey data. Reviewing current research findings on the magnitudes of different error sources. Students will continue work on an independent research project which provides empirical investigation of one or more error source. An analysis paper presenting findings of the project will be submitted at the end of the course. SURV742 Inference from Complex Surveys; (3 credits) Grade Method: REG/AUD. Prerequisite: STAT 440. Inference from complex sample survey data covering the theoretical and empirical properties of various variance estimation strategies (e.g., Taylor series approximation, replicated methods, and bootstrap methods for complex sample designs). Incorporation of those methods into inference for complex sample survey data. Variance estimation procedures applied to descriptive estimators and to analysis of categorical data. Generalized variances and design effects presented. Methods of model-based inference for complex sample surveys examined, and results contrasted to the design-based type of inference used as the standard in the course. Real survey data illustrating the methods discussed. Students will learn the use of computer software that takes account of the sample design in estimation. SURV744 Topics in Sampling; (3 credits) Grade Method: REG/AUD. Prerequisite: SURV 440. Advanced course in survey sampling theory. SURV760 Survey Management; (3 credits) Grade Method: REG/AUD. Modern practices in the administration of large scale surveys. Alternative management structures for large field organizations, supervisory and training regimens, handling of turnover, and multiple surveys with the same staff. Practical issues in budgeting of surveys are reviewed with examples from actual surveys. Scheduling of sequential activities in the design, data collection, and processing of data is described. This course will be co-taught by Steven Heeringa and Carla Maffeof. SURV772 Survey Design Seminar; (3 credits) Grade Method: REG/AUD. Formerly: SURV770 and SURV771. For SURV majors only. Not open to students who have completed SURV770 and SURV771. Credit will be granted for only one of the following: (SURV770 and SURV771) or SURV772. Students present solutions to design issues presented to the seminar. Readings are selected from literatures not treated in other classes and practical consulting problems are addressed. This class will run from January 17, 2006 through May 9, 2006. SURV829 Doctoral Research Seminar in Survey Methodology; (3-6 credits) Grade Method: REG. This course will be co-taught by Partha Lahiri and Robert Groves. The First date of this class will be January 19, 2005. SURV898 Pre-Candidacy Research; (1-8 credits) Grade Method: REG/S-F. Individual Instruction course: contact department or instructor to obtain section number. SURV899 (PermReq) Doctoral Dissertation Research; (6 credits) Grade Method: REG/S-F. Individual Instruction course: contact department or instructor to obtain section number.
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