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Courses - Spring 2018
SURV
Survey Methodology Department Site
SURV410
Introduction to Probability Theory
Credits: 3
Grad Meth: Reg, P-F, Aud
Prerequisite: MATH240 and MATH241; or permission of BSOS-Joint Program in Survey Methodology department.
Also offered as: STAT410.
Credit only granted for: 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
Credits: 3
Grad Meth: Reg, P-F, Aud
Prerequisite: SURV410 or STAT410.
Also offered as: STAT420.
Credit only granted for: 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.
SURV440
(Perm Req)
Sampling Theory
Credits: 3
Grad Meth: Reg, P-F, Aud
Prerequisite: STAT401 or STAT420.
Credit only granted for: STAT440 or SURV440.
Simple random sampling, sampling for proportions, estimation of sample size, sampling with varying probabilities of selection, stratification, systematic selection, cluster sampling, double sampling, and sequential sampling.
SURV616
(Perm Req)
Statistical Modeling II
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: SURV615.
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.
SURV622
(Perm Req)
Fundamentals of Data Collection II
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Permission of Instructor required; or fundamentals of Data Collection I.
This is the second course in a two-semester sequence that provides a broad overview of the processes that generate data for use in social science research. Students will gain an understanding of different types of data and how they are created, as well as their relative strengths and weaknesses. A key distinction is drawn between data that are designed, primarily survey data, and those that are found, such as administrative records, remnants of online transactions, and social media content. The course combines lectures, supplemented with assigned readings, and practical exercises. The second semester builds on the discussion of survey mode during the first semester, considering the role played by interviewers in telephone and in-person surveys and their effects on the data collected. Students next are introduced to the methods for extracting and re purposing found data for social science research. Methods for the classification of text, with an emphasis on automated coding methods, are introduced and selected applications considered (e.g., coding of open-ended survey responses, classification of the sentiments expressed in social media posts). Issues in using survey data and administrative records to measure change over time (longitudinal comparisons) are explored. The term concludes with an examination of methods for evaluating the quality of both designed and found data.
SURV625
(Perm Req)
Applied Sampling
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Must have completed a course in statistics approved by 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.
SURV630
Questionnaire Design and Evaluation
Credits: 3
Grad Meth: Reg, Aud
Credit only granted for: SURV430 and SURV630.
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.
SURV656
(Perm Req)
Web Survey Methodology
Credits: 1
Grad Meth: Reg, Aud
Restriction: Must have completed SURV400; or must have completed SURV623; or permission of instructor. And permission of BSOS-Joint Program in Survey Methodology department.
Fundamental concepts of web surveys and web survey design. The course is organized in 3 main sections which follow the way a proper web survey is organized: prefielding, fielding and post fielding.
SURV667
(Perm Req)
Introduction to Record Linkage with Big Data Applications
Credits: 1
Grad Meth: Reg, Aud
Restriction: Permission of BSOS-Joint Program in Survey Methodology department.
Methods to combine data on given entities (people, households, firms etc.) that are stored in different data sources. By showing the strengths of these methods and by providing numerous practical examples the course will demonstrate the various benefits of record linkage. The participants will also learn about potential pitfalls record linkage projects may face.
SURV699
(Perm Req)
Special Topics in Survey Methodology; Readings in Survey Methodology
Credits: 1 - 4
Grad Meth: Reg, Aud
SURV701
Analysis of Complex Sample Data
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: SURV625.
Analysis of data from complex sample designs covers: the development and handling of selection and other compensatory weights; methods for handling missing data; the effect of stratification and clustering on estimation and inference; alternative variance estimation procedures; methods for incorporating weights, stratification and clustering, and imputed values in estimation and inference procedures for complex sample survey data; and generalized design effects and variance functions. Computer software that takes account of complex sample design in estimation.
SURV721
(Perm Req)
Total Survey Error and Data Quality II
Credits: 2
Grad Meth: Reg, Aud
Prerequisite: SURV720.
Restriction: Permission of instructor.
Credit only granted for: (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.
SURV726
Multiple Imputation
Credits: 1
Grad Meth: Reg, Aud
Prerequisite: Be comfortable with generalized linear models and basic probability theory through coursework or work experience; and familiarity with the statistical software R; and must have completed Surv 725 Item Nonresponse and Imputation or be familiar with the content through relevant work experience.
Restriction: Permission of BSOS-Joint Program in Survey Methodology department.
This course will provide a detailed introduction to multiple imputation, a convenient strategy for dealing with (item) nonresponse in surveys. We will motivate the concept and illustrate why multiple imputation should generally be preferred over single imputation methods. The main focus of the course will be on strategies to generate (multiple) imputations and how to deal with common problems when applying the methods for large scale surveys. We will also discuss various options for assessing the quality of the imputations. All concepts will be demonstrated using software illustrations in R.
SURV742
(Perm Req)
Inference from Complex Surveys
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: SURV440.
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
(Perm Req)
Topics in Survey Methodology
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: SURV440.
Advanced course in survey sampling theory.
SURV772
Survey Design Seminar
Credits: 3
Grad Meth: Reg, Aud
Credit only granted for: (SURV770 and SURV771) or SURV772.
Formerly: SURV770 and SURV771.
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.
SURV829
(Perm Req)
Doctoral Research Seminar in Survey Methodology
Credits: 3 - 6
Grad Meth: Reg
SURV898
Pre-Candidacy Research
Credits: 1 - 8
Grad Meth: Reg, S-F
Contact department for information to register for this course.
SURV899
(Perm Req)
Doctoral Dissertation Research
Credits: 6
Grad Meth: Reg, S-F
Contact department for information to register for this course.