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LSA Course Guide Search Results: UG, GR, Winter 2007, Dept = SURVMETH
 
Page 1 of 1, Results 1 — 15 of 15
Title
Section
Instructor
Term
Credits
Requirements
SURVMETH 612 — Methods of Survey Sampling
Section 001, SEM

Instructor: Lahiri,Parthasarathi

WN 2007
Credits: 3

Methods of Survey Sampling/Applied Sampling is an applied statistical methods course, but differs from most statistics courses. It is concerned almost exclusively with the design of data collection. Little of the analysis of collected data will be discussed in the course. The course will concentrate on problems of applying sampling methods to human populations, since survey practices are more widely used in that area, and since sampling human populations poses a number particular problems not found in sampling of other types of units. The principles of sample selection, though, can be applied to many other types of populations.

The course is presented at a moderately advanced statistical level. While we will not develop the mathematical aspects of sampling theory, statistical notation and outlines of some algebraic proofs will be given. A sound background in applied statistics is necessary, since a few algebraic derivations will be presented. Little emphasis will be placed on the derivations. Nonetheless, a thorough understanding of the notation and results will be needed.

Advisory Prerequisite: PSYCH,Two courses in statistics.

SURVMETH 618 — Inference From Complex Samples
Section 001, SEM

Instructor: Brick,Mike B

WN 2007
Credits: 3

Inference from complex sample survey data covers the theoretical and empirical properties of various variance estimation strategies (e.g., Taylor series approximation, replicated methods, and bootstrap methods for complex sample designs) and how to incorporate those methods into inference for complex sample survey data. Variance estimation procedures are applied to descriptive estimators and to analysis techniques such as regression, analysis of variance, and analysis of categorical data. Generalized variances and design effects are presented. Methods of model-based inference for complex sample surveys are also examined, and the results are contrasted with design-based type of inference used as the standard for the course. The course will use real survey data to illustrate the methods discussed in class. Students will learn the use of computer software that takes account of the sample design in estimation. Students will carry out a research and analysis project, using techniques and skills learned during the course. A paper describing the student's research will be submitted at the end of the course, and each student will give a short presentation of his/her findings.

Advisory Prerequisite: BIOSTAT 602/STAT 511, SURVMETH 612 and 617

SURVMETH 619 — Topics in Survey Sampling
Section 001, LEC

Instructor: Rust,Keith F
Instructor:

WN 2007
Credits: 3

This is an advanced course in selected topics in survey sampling. Topics to be covered include: estimation and imputation approaches; small area estimation; and sampling methods for rare populations. A selection of additional topics, chosen by the instructor, will also be covered. Examples of such additional topics are: sample designs for time and space; panel and rotating panel survey designs; maximizing overlap between samples; controlled selection and lattice sampling; adaptive cluster sampling; capture-recapture sampling; sampling for telephone surveys; sampling for establishment surveys; and measurement error models. Both applied and theoretical aspects of the topics will be examined.

Advisory Prerequisite: Survey Methodology 612; 617 (can be taken concurrently)

SURVMETH 630 — Questionnaire Design
Section 001, SEM
Please contact Jill Esau (jesau@umich.edu) for permission to enroll in this course.

Instructor: Kreuter,Frauke

WN 2007
Credits: 3

This course is about the development of the survey instrument, the questionnaire. Topics include wording of questions (strategies for factual and non-factual questions), cognitive aspects, order of response alternatives, open versus closed questions, handling sensitive topics, combining individual questions into a meaningful questionnaire, issues related to questions of order and context, and aspects of a questionnaire other than questions. Questionnaire design is shown as a function of the mode of data collection such as face-to-face interviewing, telephone interviewing, mail surveys, diary surveys, and computer-assisted interviewing.

Advisory Prerequisite: SOC,Graduate standing. An introductory course in survey research methods or equivalent experience.

SURVMETH 660 — Survey Management
Section 001, SEM

Instructor: Heeringa,Steven G
Instructor:

WN 2007
Credits: 3

This course describes modern practices in the administration of large-scale surveys. It reviews alternative management structures for large field organization, supervisory and training regimes, 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.

Advisory Prerequisite: Degree-seeking student in Program in Survey Methodology or permission of instructor

SURVMETH 672 — Survey Practicum: Data Collection
Section 001, SEM

Instructor: Lepkowski,James M; homepage
Instructor: Yan,Ting

WN 2007
Credits: 2

This is the first course in the two semester sequence that constitutes the practicum in survey research. Class time will be devoted to instruction and practice in questionnaire development, pretesting, blocklisting, sampling, coding, and interviewer training. The skills taught during class periods are preparation for out-of-class fieldwork that culminates in the conduct of a survey interview.

Advisory Prerequisite: SURVMETH 600 or graduate standing in the Program in Survey Methodology

SURVMETH 686 — Statistical Methods II
Section 001, LEC

Instructor: Valliant,Richard L

WN 2007
Credits: 3

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.

Advisory Prerequisite: SURVMETH 685 OR P.I.

SURVMETH 699 — Directed Research
Section 001, IND

WN 2007
Credits: 1 — 3

Directed research on a topic of the student's choice. An individual instructor must agree to direct such research, and the requirements are specified when approval is granted.

Advisory Prerequisite: Graduate standing and permission of instructor

SURVMETH 721 — Total Survey Error II
Section 001, SEM

Instructor: Tourangeau,Roger
Instructor: Groves,Robert M

WN 2007
Credits: 2

This is the second course in two course sequence that reviews the 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, non-response, sampling, measurement errors, interviewer effects, questionnaire effects, and mode of data collection effects are reviewed. Statistical and social science approaches to the error sources are compared.

Advisory Prerequisite: SURVMETH 720

SURVMETH 891 — Doctoral Seminar II
Section 001, SEM

Instructor: Groves,Robert M

WN 2007
Credits: 3

This is the second course in a two-term seminar designed to develop skills in the identification of research problems, specification of hypothesis / theorems to extend current understanding of the field, and planning for original research. A common set of readings in four to six advanced research activities of the faculty are studied, with the faculty engaged in research discussing areas of potential innovation.

Advisory Prerequisite: SURVMETH 890/permission of instructor

SURVMETH 895 — Special Seminars
Section 001, SEM
Cognition and Survey Research Contact the Survey Methodology Department for a detailed description of this course. Department email address: MichPSM@isr.umich.edu

Instructor: Tourangeau,Roger
Instructor: Conrad,Frederick G; homepage

WN 2007
Credits: 3

Addresses specific research problems currently under study by faculty members. The topics vary by academic term and instructor.

Advisory Prerequisite: Graduate Standing and permission of instructor

SURVMETH 895 — Special Seminars
Section 002, SEM
Nonresponse in Surveys Contact the Survey Methodology Department for a detailed description of this course. Department email address: MichPSM@isr.umich.edu

Instructor: Groves,Robert M
Instructor: Raghunathan,Trivellore E; homepage

WN 2007
Credits: 3

Addresses specific research problems currently under study by faculty members. The topics vary by academic term and instructor.

Advisory Prerequisite: Graduate Standing and permission of instructor

SURVMETH 899 — Directed Research
Section 001, IND

WN 2007
Credits: 1 — 3

Directed research on a topic of the student's choice. An individual instructor must agree to direct such research, and the requirements are specified when approval is granted.

Advisory Prerequisite: Candidacy and permission of instructor

SURVMETH 990 — Dissertation Pre-Candidacy
Section 001, IND

WN 2007
Credits: 1 — 8

Election for dissertation work by doctoral student not yet admitted as a Candidate. Students doing dissertation work prior to achieving candidacy should register fro SURVMETH 990 for that portion of their schedule spent on dissertation work.

Advisory Prerequisite: Graduate standing and permission of instructor.

SURVMETH 995 — Dissertation Candidacy
Section 001, IND

WN 2007
Credits: 8

Graduate School authorization for admission as a doctoral Candidate. N.B. The defense of the dissertation (the final oral examination) must be held under a full term. Candidacy enrollment period. Students who have advanced to candidacy for the Ph.D. are required to register for SURVMETH 995 in any term when they are consulting with member of their dissertation committee or using the Library or other facilities of the University. If the student is to be engaged in a period of study away from the University, the student should file a Certification for Detached Study in advance. Students doing dissertation work prior to achieving candidacy should register for SURVMETH 990 for that portion of their schedule spent on dissertation work.

Enforced Prerequisites: Graduate school authorization for admission as a doctoral Candidate.

 
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