The UNL Gallup Research Center, which coordinates the UNL Survey Research and Methodology Program, is housed at the Gallup Organization's historical downtown location adjacent to UNL's city campus.

The Survey Research and Methodology (SRAM) Program at UNL offers two degrees: Master of Science and Doctor of Philosophy. Both degrees are strongly cross-disciplinary.
The M.S. program is designed to provide students with comprehensive expertise in survey methodology, equipping them to conduct survey research and analysis in a wide range of fields in the public and private sectors, including health, education, media, official statistics, and polling. The M.S. program is a two-year non-thesis program which includes an internship with an external organization, agency or company.
The Ph.D. program offers specialization opportunities in areas such as data analysis, social and cognitive survey research, questionnaire design, and cross-cultural and cross-national survey research. The program is designed as a four-year program and requires a dissertation of original work that advances knowledge in the field of survey methodology. In addition to advanced opportunities in government, business, and non-profit sectors, Ph.D. graduates are likely to have opportunities within academic settings.

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2012

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Numeric Estimation and Response Options: An Examination of the Measurement Properties of Numeric and Vague Quantifier Responses, Mohammad T. Al Baghal

2011

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Is Less More & More Less…? The Effect of Two Types of Interviewer Experience on “Don’t Know” Responses in Calendar and Standardized Interviews, Ipek Bilgen

2010

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The Genetic Heritability
 of
 Survey
 Response 
Styles, Levente Littvay

2009

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Agreement answer scale design for multilingual surveys: Effects of translation-related changes in verbal labels on response styles and response distributions, Ana Villar

2007

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Seam effects changes due to modifications in question wording and data collection strategies. A comparison of conventional questionnaire and event history calendar seam effects in the PSID, Mario Callegaro