Via: Chronicle of Higher Education, The Ticker
By: Michael Andrew Koicich, Texas Tech University
AERA 2014 Annual Meeting
April 4, 2014
Students from rural areas have a history of lower educational attainment at both the K-12 and postsecondary levels, yet this population remains understudied. This study seeks to update past studies of rural youth by examining college attendance and choice decisions for students from non-metropolitan counties. Logistic regression is used to study the postsecondary attendance and institutional choice for rural students. Data are taken from two national data sets, the Education Longitudinal Study of 2002 and the 2004 County Typologies published by the U.S. Department of Agriculture, which are then combined to conduct this analysis. The results of this study reveal clear disadvantages in postsecondary attendance, institutional level, selectivity, and other indicators resulting simply from living in a non-metropolitan county. The effect of most student characteristics did not vary substantially between rural and non-rural areas, but the analysis did reveal one interesting finding: The relationship between college attendance and choice and a student’s socioeconomic status was weaker for rural students than for non-rural students. Some systematic variation across rural communities was revealed, as well.
Full paper (PDF)
Source: Pew Research Center, Fact Tank
By: Jens Manuel Grogstad
From the FactTank story:
The new category would be broader than the Arab ancestry data collected by the Census Bureau since 1980. The Arab-American population is small but growing, and its exact size is disputed. The Census Bureau estimates there are 1.8 million Arab-Americans in the U.S., up 51% since 2000. But the Arab American Institute Foundation estimates there are nearly 3.7 million Arab Americans living in the country. The Arab-American population is also diverse, with people claiming ties to 22 countries and various religious backgrounds.
Read the full story
A story from earlier in the month about other Census form race and ethnicity changes
While smoking began as a practice among the well-off, according to a study published in Population Health Metrics, the habit is now much more prevalent in the working and poor classes.
New York Times article
Full text of the study
Source: Pew Research Internet Project
By: Marc A. Smith, Lee Rainie, Ben Shneiderman, and Itai Himelboim
Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters
Conversations on Twitter create networks with identifiable contours as people reply to and mention one another in their tweets. These conversational structures differ, depending on the subject and the people driving the conversation. Six structures are regularly observed: divided, unified, fragmented, clustered, and inward and outward hub and spoke structures. These are created as individuals choose whom to reply to or mention in their Twitter messages and the structures tell a story about the nature of the conversation.
Complete Report (PDF)
Infographic: The six types of Twitter conversations
From the new DHS Program blog:
[So in 2013,] when USAID’s MEASURE umbrella ceased to be, it was clear that we needed to be something more than simply “DHS”. But what? At first glance, “The Demographic and Health Surveys Program” or “The DHS Program” seems like an innocuous project name. But to us, it represents a lot more.
As a Program, we are representing not one contract with USAID, but 30 years of data collection in more than 90 countries.
As a Program, we are not just our flagship household survey, but a suite of surveys, data management, biomarker testing and GIS and research activities.
As a Program, we encompass far more than just data collection, but are charged with strengthening capacity, communicating complex information, analyzing data, and ensuring that DHS data are used to inform decisions all over the globe to improve the health of families and communities.
Read the full announcement.
New DHS Program website
From the UNFPA website:
The main objective of the decomposition tool is to provide evidence and analysis that countries can use to develop policies and programmes aimed to find a balance between demographic change and social, economic and environmental goals.
This program calculates the contributions of different demographic factors (wanted and un-wanted fertility, mortality, migration, and age structure) to population growth. It is based on the medium variant population projection of the United Nations from 2010 to 2050 for all countries and main regions.
Select a country or region from the window below to view the results of the decomposition tool. Move mouse over the figures to explore the interactive data content. Then read and download a report summarizing the results, methods, and policy implications.
Learn more and use the tool on the website.
Researchers will now have access to genetic data linked to medical information on a diverse group of more than 78,000 people, enabling investigations into many diseases and conditions. The data, from one of the nation’s largest and most diverse genomics projects — Genetic Epidemiology Research on Aging (GERA) — have just been made available to qualified researchers through the database of Genotypes and Phenotypes (dbGaP), an online genetics database of the National Institutes of Health.
Details can found here.
By: Katherine Mangan
Source: Chronicle of Higher Education
Minority Male Students Face Challenge to Achieve at Community Colleges
Although black and Latino male students enter community colleges with higher aspirations than those of their white peers, white men are six times as likely to graduate in three years with a certificate or degree, according to a report released on Wednesday by the Center for Community College Student Engagement at the University of Texas here.
Full text of the article
Aspirations to Achievement: Report from the Center for Community College Student Engagement (PDF)
Why should NSF fund political science? Here’s a great reason:
United States Congressional District Shapefiles
Jeffrey B. Lewis, Brandon DeVine, and Lincoln Pritcher with Kenneth C. Martis
This site provides digital boundary definitions for every U.S. Congressional District in use between 1789 and 2012. These were produced as part of NSF grant SBE-SES-0241647 between 2009 and 2013.
The current release of these data is experimental. We have had done a good deal of work to validate all of the shapes. However, it is quite likely that some irregularities remain. Please email firstname.lastname@example.org with questions or suggestions for improvement. We hope to have a ticketing system for bugs and a versioning system up soon. The district definitions currently available should be considered an initial-release version.
The FY2014 budget for BLS has cut two important data programs: The Quarterly Census of Employment and Wages and the International Price Program. The latter is a principal economic indicator.
2014 Budget Enacted for Bureau of Labor Statistics
BLS Information Press Release | Bureau of Labor Statistics
February 25, 2014
The following document describes the U.S. Import and Export Price indexes, which clarifies what other government agencies and the business community are losing.
Get to Know a Principal Economic Indicator: U.S. Import and Export Price Indexes
Council of Professional Associations on Federal Statistics | www.copafs.org
U.S. Import and Export Price Indexes
This is the data/information link for the February 14, 2014 release
Data tables for the U.S. Import and Export Price Indexes
Downloadable tables | html version | Archival releases