PM: Data talks at Green Library
Afternoon data talks at Green Library, Tierney Room, 121A
Friday, October 25, 2019
Gallup Polling Data
Jerrold R. Hansen, Learning and Design Consultant
Learn how the data from the Gallup US Daily Tracking and World Polls can uniquely enrich your research. A variety of time series plots and cross-tabs from these two polls can be viewed via Stanford's subscription to Gallup Analytics.
The Gallup US Daily Tracking Poll, begun in 2008, is a nationally representative poll of about 1500 adults per week. Questions provide unique and detailed insights into Americans' opinions and perceptions of important political and economic issues, as well as the current events that affect the world, the U.S., and their lives. With almost 1900 variables and large sample sizes that accumulate over time, the US Daily Tracking Poll will allow you to slice and dice the its microdata to fairly detailed breakdowns by demographic categories or geography.
The Gallup World Poll, begun in 2005, is an annual poll of more than 2600 variables from over 160 countries that include 99% of the world's adult population. The World Poll tracks the opinions and perceptions of the adult population of these countries on the most important issues worldwide, such as food access, employment, leadership performance, and well-being.
Jerry Hansen joined Gallup in 1996 and works with the Gallup Analytics team to provide tools that allow access to unique data sets from their 100 year longitudinal poll of the world, and their daily studies of public opinion from the United States.
Oral History Text Analysis Project (OHTAP) : Can large-scale data analysis help map historical memories of sexual harassment, assault, and abuse?
with Estelle Freedman, Edgar E. Robinson Professor in United States History
The Stanford Oral History Text Analysis Project has been developing a methodology for data mining the rich but untapped collections of digital oral history interview transcripts housed in university libraries and other collections across the U.S. Created in audio or text formats since the 1960s, in the past decade thousands of these rich first-person accounts have been digitized. They are particularly valuable to historians who study the social history of underrepresented groups and of previously concealed topics.
Building on Professor Freedman’s research on the history of sexual violence, OHTAP is exploring whether and how women interviewees named, remembered, and interpreted forms of sexual violence in the mid to late-twentieth century; how language and responses changed over time; how they differed across demographic groups; and what historical sources enabled resistance and activism. Our long-range goal is to establish methodologies for digital analysis of oral history that can be applied widely by a range of scholars, on multiple topics of inquiry.
Data Available at the Stanford Federal Statistical Research Data Center (FSRDC)
with Emi Lesure, U.S. Census Bureau
The Federal Statistical Research Data Center (FSRDC) program allows qualified researchers to use sensitive, restricted-access microdata from over a dozen federal agencies. These agencies include, among others:
- U.S. Census Bureau
- National Center for Health Statistics (NCHS)
- Agency for Healthcare Research and Quality (AHRQ)
- Bureau of Labor Statistics (BLS)
- Bureau of Economic Analysis (BEA)
There are only about 30 FSRDCs located across the U.S. and Stanford has one of them, providing access to rich datasets researchers would otherwise need to travel to Washington, D.C., to use. The Stanford FSRDC will be moving to a new, central location in 2020, so now is a great time to learn about this resource.
Emi Lesure, Ph.D., is the Stanford FSRDC administrator and will discuss the available datasets and the access process. She will also be available for consultations before and after the presentation in the Data Expo room.
If you have questions about the presentation or use of the Stanford FSRDC, including proposal development, dataset availability, and access, you can contact Emi Lesure at Sheffield.E.Lesure@census.gov.