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Courses - Fall 2017
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.
SURV615
(Perm Req)
Statistical Methods I
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Must have completed a two course sequence in probability and statistics; or students who have taken courses with comparable content may contact the department.
Restriction: Must be in Survey Methodology (Master's) program; or permission of instructor.
First course in a two term sequence in applied statistical methods covering topics such as regression, analysis of variance, categorical data, and survival analysis.
It runs concurrently with the University of Michigan course.
SURV623
Data Collection Methods in Survey Research
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: SURV400; or students who have taken courses with comparable content may contact the department.
Review of alternative data collection methods used in surveys, such as current advances in computer-assisted telephone interviewing (CATI), computer-assisted personal interviewing (CAPI), and other methods such as touchtone data entry (TDE) and voice recognition (VRE).
SURV630
(Perm Req)
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.
SURV632
Social and Cognitive Foundations of Survey Measurement
Credits: 3
Grad Meth: Reg, Aud
Major sources of survey error-such as reporting errors and nonresponse bias-from the perspective of social and cognitive psychology and related disciplines. Topics: psychology of memory and its bearing on classical survey issues (e.g., underreporting and telescoping); models of language use and their implications for the interpretation and misinterpretation of survey questions; and studies of attitudes, attitude change, and their possible application to increasing response rates and improving the measurement of opinions. Theories and findings from the social and behavioral sciences will be explored.
Restricted to SURV majors only.
SURV641
Survey Practicum II
Credits: 2
Grad Meth: Reg
Prerequisite: SURV620.
Restriction: Must be in one of the following programs (Survey Methodology (Doctoral); Survey Methodology (Master's)).
Credit only granted for: SURV621 or SURV641.
Formerly: SURV621.
Additional information: SURV640 and SURV641 must be taken in consecutive semesters.
Second part of applied workshop in sample survey design. Course focus on post data collection process of data processing, editing and anlysis.
SURV650
Economic Measurement
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Must have completed a course in intermediate microeconomics.
Credit only granted for: 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.
SURV672
Introduction to the Federal Statistical System and the Survey Research Profession
Credits: 1
Grad Meth: S-F
Credit only granted for: (SURV670 and SURV671) or SURV672.
Formerly: SURV670 and SURV671.
The U.S. statistical system and its goals are reviewed. The federal statistical agencies are described, and their primary missions and data collections are examined. The statistical systems of other countries are compared with the U.S. system. Organizational and budgetary aspects are presented. Students will learn about organizations and groups outside of the Federal Statistical System that affect the actions of the System. These include other governmental units, professional associations, and advisory groups created by the agencies themselves. Students will review current laws regarding privacy and confidentiality affecting government agency work and consider a variety of ethical issues confronting government statisticians.
SURV699
(Perm Req)
Special Topics in Survey Methodology; Reading in Survey Methodology
Credits: 1 - 3
Grad Meth: Reg, Aud
SURV701
(Perm Req)
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.
It runs concurrently with the University of Michigan course.
SURV720
Total Survey Quality I
Credits: 2
Grad Meth: Reg, Aud
Prerequisite: SURV625.
Restriction: Permission of instructor.
Credit only granted for: (SURV720 and SURV721) or SURV723.
Formerly: SURV723.
Total error structure of sample survey data, reviewing current research findings on the magnitudes of different error sources, design features that affect their magnitudes, and interrelationships among the errors. Coverage, nonresponse, sampling, measurement, and postsurvey processing errors. For each error source reviewed, social science theories about its causes and statistical models estimating the error source are described. Empirical studies from the survey methodological literature are reviewed to illustrate the relative magnitudes of error in different designs. Emphasis on aspects of the survey design necessary to estimate different error sources. Relationships to show how attempts to control one error source may increase another source. Attempts to model total survey error will be presented.
It runs concurrently with the University of Michigan course.
SURV722
Research Design: Causal inference from randomized and observational data
Credits: 3
Grad Meth: Reg, Aud
Restriction: Must be in Survey Methodology (Doctoral) program; or must be in Survey Methodology (Master's) program; or must be in a major within the BSOS-Joint Program in Survey Methodology department; or permission of BSOS-Joint Program in Survey Methodology department.
Research designs from which causal inferences are sought. Classical experimental design will be contrasted with quasi-experiments, evaluation studies, and other observational study designs. Emphasis placed on how design features impact the nature of statistical estimation and inference from the designs. Issues of blocking, balancing, repeated measures, control strategies, etc.
SURV745
Practical Tools for Sampling and Weighting
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: SURV615, SURV616, and SURV625; or permission of instructor.
Credit only granted for: SURV745 or SURV699E.
Formerly: SURV699E.
A statistical methods class appropriate for second year Master's students and PhD students. The course will be a combination of hands-on applications and general review of the theory behinddifferent approaches to sampling and weighting. Topics covered include sample size calculations using estimation targets based on relative standard error, margin of error, and power requirements. Use of mathematical programming to determine sample sizes needed to achieve estimation goals for a series of subgroups and analysis variables. Resources for designing area probability samples. Methods of sample allocation for multistage samples. Steps in weighting, including computation of base weights, non response adjustments, and uses of auxiliary data. Non response adjustment alternatives, including weighting cell adjustments, formation of cells using regression trees, and propensity score adjustments. Weighting via post stratification, raking, general regression estimation, and other types of calibration.
SURV746
(Perm Req)
Applications of Statistical Modeling
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: SURV615 and SURV616; or permission of instructor.
Credit only granted for: SURV746 or SURV699R.
Formerly: SURV699R.
Designed for students on both the social science and statistical tracks for the two programs in survey methodology, will provide students with exposure to applications of more advanced statistical modeling tools for both substantive and methodological investigations that are not fully covered in other MPSM or JPSM courses. Modeling techniques to be covered include multilevel modeling (with an application to methodological studies of interviewer effects), structural equation modeling (with an application of latent class models to methodological studies of measurement error), classification trees (with an application to prediction of response propensity), and alternative models for longitudinal data (with an application to panel survey data from the Health and Retirement Study). Discussions and examples of each modeling technique will be supplemented with methods for appropriately handling complex sample designs when fitting the models. The class will focus on practical applications and software rather than extensive theoretical discussions.
SURV829
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.