College of LS&A

Fall Academic Term 2003 Graduate Course Guide

Note: You must establish a session for Fall Academic Term 2003 on wolverineaccess.umich.edu in order to use the link "Check Times, Location, and Availability". Once your session is established, the links will function.

Courses in Survey Methodology


This page was created at 6:23 PM on Tue, Sep 23, 2003.

Fall Academic Term 2003 (September 2 - December 19)


SURVMETH 613. Analysis of Complex Sample Survey Data.

Section 001.

Instructor(s): Steven G Heeringa

Prerequisites: SURVMETH 612. (3). May not be repeated for credit.

Credits: (3).

Course Homepage: http://coursetools.ummu.umich.edu/2003/fall/survmeth/613/001.nsf

This introductory course on the 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, clustering, and imputed values in estimation and inference procedures for complex sample survey data; and generalized design effects and variance functions. Prerequisites: SurvMeth 612.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 1

SURVMETH 617 / STATS 580 / SOC 717 / BIOSTAT 617. Methods and Theory of Sample Design.

Section 001.

Instructor(s): James M Lepkowski (jimlep@umich.edu)

Prerequisites: Three or more courses in statistics and preferably a course in methods of survey sampling. (3). May not be repeated for credit.

Credits: (3).

Course Homepage: http://coursetools.ummu.umich.edu/2003/fall/survmeth/617/001.nsf

See Statistics 580.001.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

SURVMETH 623. Data Collection Methods.

Section 001.

Instructor(s): Michael Couper (mcouper@umich.edu)

Prerequisites: Graduate standing. (3). May not be repeated for credit.

Credits: (3).

Course Homepage: No homepage submitted.

This course reviews alternative data collection methods used in surveys, focusing on interviewer-administered methods. It concentrates on the impact these techniques have on the quality of sur5vey data, including measurement error properties, nonresponse, and coverage errors. The course reviews the literature on data collection methods, focusing on comparisons of major modes (face-to-face, telephone, and mail) and alternative methods of data collection (diaries, administrative records, direct observation, etc.). Prerequisites: None.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

SURVMETH 630 / PSYCH 711 / SOC 711. Questionnaire Design.

Section 001.

Instructor(s):

Prerequisites: Graduate standing. An introductory course in survey research methods or equivalent experience. (3). May not be repeated for credit.

Credits: (3).

Course Homepage: No homepage submitted.

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 question 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. Prerequisites None.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

SURVMETH 670. Design Seminar I.

Section 001.

Instructor(s): James M Lepkowski (jimlep@umich.edu)

Prerequisites: Graduate standing in Survey Methodology. (1). May not be repeated for credit.

Credits: (1).

Course Homepage: http://coursetools.ummu.umich.edu/2003/fall/survmeth/670/001.nsf

This is a wide-ranging graduate seminar in which several Program faculty members join with the students in attempting to solve design issues presented to the seminar by clients from the private, government, or academic sectors of research. Readings are selected from literatures not treated in other classes and practical consulting problems are addressed. Prerequisites: SURVMETH 612, SURVMETH 623.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 1

SURVMETH 673. Detroit Area Study Practicum: Data Analysis

Section 001 — DAS Sem: Understanding the Root Cause of Environmental Concern Domestically & Environmentally. Meets with NRE 501.042 and SOC 513.001.

Instructor(s): Wayne E Baker (wayneb@umich.edu)

Prerequisites: SURVMETH 672. (3). May not be repeated for credit.

Credits: (3).

Course Homepage: No homepage submitted.

See Sociology 513.001.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 1

SURVMETH 697. Special Courses.

Section 001 — Sampling Theory: A Prediction Approach.

Instructor(s): Richard L Valliant

Prerequisites: Graduate Standing. Some background in Survey Methodology desirable. (3). May be repeated for credit for a maximum of 6 credits.

Credits: (3; 2 in the half-term).

Course Homepage: No homepage submitted.

This course covers the principles of model-based sampling, addressing such fundamental issues as the choice of working model, preferred estimation procedures, desirable sample designs, and protection against the model's being wrong. Model-based properties are studied of standard sampling designs such as simple random sampling, stratified random sampling, and multistage (cluster) sampling. Emphasis is on protection against bias and on robust variance estimation. Topics include: role of balanced samples in bias protection and optimality; relationship to balanced sampling of systematic sampling and probability proportional to size sampling; stratification and the use of models to guide sample allocation; estimation using samples from clustered populations; variance estimation in unclustered and clustered populations; incorporating quantitative and qualitative auxiliary data in estimating totals; comparison to design-based procedures like the general regression estimator. Textbook: Finite Population Sampling and Inference: A Prediction Approach by R. Valliant, A. Dorfman, R. Royall. Prerequisites: Two graduate courses in statistical methods and Stat 580/Biostat617/SurvMeth 617 (Theory and Methods of Survey Sampling).

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

SURVMETH 699. Directed Research.

Instructor(s):

Prerequisites: Graduate Standing and permission of instructor. (1-3). (INDEPENDENT). May not be repeated for credit.

Credits: (1-3).

Course Homepage: No homepage submitted.

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. Prerequisites: Graduate standing and permission of instructor.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 5, Permission of Instructor

SURVMETH 890. Doctoral Seminar I.

Section 001.

Instructor(s): Robert M Groves

Prerequisites: Graduate Standing. Graduate School authorization for admission as a doctoral Candidate. (3). May not be repeated for credit.

Credits: (3).

Course Homepage: No homepage submitted.

This is the first course in a two term introduction to the integration of social science and statistical science approaches to the design, collection, and analysis of surveys. The seminar will focus on six to eight areas of statistical and methodological literature that have benefited from alternative approaches. Students demonstrate mastery of those literatures through critical review papers, ideas for extensions of the literature, and empirical projects related to research reviewed. Prerequisites: Candidacy and permission of instructor

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 1

SURVMETH 899. Directed Research.

Instructor(s):

Prerequisites: Graduate Standing and permission of instructor. Graduate School authorization for admission as a doctoral Candidate. (1-3). (INDEPENDENT). May not be repeated for credit.

Credits: (1-3).

Course Homepage: No homepage submitted.

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. Prerequisites: Candidacy and permission of instructor.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 5, Permission of Instructor


Undergraduate Course Listings for SURVMETH.


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This page was created at 6:23 PM on Tue, Sep 23, 2003.


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