NYU graduate courses on designing surveys and field experiments

For NYU and NYC-area graduate students, Joel Middleton and I are planning a year-long sequence that will train graduate students to design and analyze surveys and field experiments. Here’s the announcement:

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The PRIISM Center would like to bring to your attention the following complementary course offering that involve NYU’s Steinhardt School and its Graduate School of Arts & Sciences (GSAS). More information, including dates/times of instruction can be found here: http://steinhardt.nyu.edu/humsocsci/interdepartmental/courses or through links to the sponsoring departments at this site: http://steinhardt.nyu.edu/priism/courses

Series on Sampling, Design, and Inference:

This year-long series will cover both introductory and advanced topics in the design and analysis of sample surveys and social experiments. The series will consist of a Fall course titled, “Sampling, Design, and Inference I: Survey Research Methods,” taught through the Steinhardt School, and a Spring course titled, “Sampling, Design, and Inference II: Quantitative Field Methods,” taught through the GSAS Politics Department. The Fall 2011 course will be an introductory and hands-on overview for graduate students who plan to carry out or analyze sample surveys. The Spring 2012 course will provide advanced training in sampling and will extend these techniques to experimental design and analysis. A brief description follows.

RESCH-GE 2139 Sampling and Inference I: Survey Research Methods (3 points) Instructor: Joel Middleton (Steinhardt School), FALL 2011

This course will be based on an existing Survey Research Methods course that has been offered through Steinhardt in recent years, previously taught by Jack Buckley. Undergraduate-level introductory statistics is required but no previous experience with survey research is presumed. This course intends to train graduate students in the following: total survey error; creation and pre-testing of survey instruments; basic principles of sampling, power, measurement, and design-based inference; analysis of data from sample surveys using design-based and model-based analytical techniques. The texts for this course will be at the level of Groves et al., Survey Methodology, Wiley, 2004, with selected readings from Lohr, Sampling: Design and Analysis, Duxbury, 1999.

POL-GA 3200 Sampling and Inference II: Quantitative Field Methods (4 points) Instructor: Cyrus Samii (GSAS/Politics), SPRING 2012

This is a more advanced graduate course for those who wish to go further than what is provided in the Survey Research Methods course and to become expert in sampling and field experiment methodology. Prerequisites will be introductory graduate-level statistics. The Survey Research Methods course (or equivalent) is recommended though not required. This course will cover: foundations of sample-theoretic and randomization-based estimation and testing; optimal design of samples and experiments via stratification and adaptive designs; non-standard design problems, including network samples and other forms of “indirect” sampling and randomization; estimation and testing under clustering, interference, non-compliance, and other non-standard scenarios; examination of state of the art sampling, field experiment, and survey experiment studies. The texts for this course will be at the level of Sarndal et al., Model Assisted Survey Sampling, Springer, 1992, and Imbens and Rubin, Causal Inference in Statistics, Cambridge, forthcoming.

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While Joel and I will teach these two classes separately, we are each planning guest appearances in each others’ classes on special topics. Hope to see you there.

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