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Download U.S. Census statistics and shapefiles

May 14th, 2010.   Tags: , , , , , .  Posted in Resources

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Spatial data – shapefiles (.shp)

Cartographic Boundary Files
From U.S. Census Bureau.

Census 2000 TIGER/Line Data
From U.S. Census Bureau. Via ESRI.

Census data

Report: Generation M: Media in the Lives of 8-18 Year-olds (March 05)

September 8th, 2009.   Tags: , , , .  Posted in Teaching

Kaiser Family Foundation. (2005). Generation M: Media in the Lives of 8-18 Year-olds.

This report is based on a nationally representative survey of 3rd- to 12th-grade students, designed to explore their access to and recreational (nonschool) use of a full range of media, including newspapers, magazines, books, TV, DVDs/videotapes, video games, movies, radio, MP3s, CDs and tapes, computers and the Internet. In addition to interviews with 2,032 students age 8–18, 694 seven-day media-use diaries – collected from respondents who chose to participate – were used to help guide the survey analyses…

(Kaiser Family Foundation, 2005, p. 5)

Report: Pew Internet: Generations Online in 2009 (Jan. 09)

August 18th, 2009.   Tags: , , .  Posted in Teaching

Jones, S., & Fox, S. (2009). Generations Online in 2009 | Pew Internet & American Life Project.

Contrary to the image of Generation Y as the “Net Generation,” internet users in their 20s do not dominate every aspect of online life. Generation X is the most likely group to bank, shop, and look for health information online. Boomers are just as likely as Generation Y to make travel reservations online. And even Silent Generation internet users are competitive when it comes to email.
(Jones & Fox, 2009, p. 1)

Report: Nielsen: How teens use media (June 09)

August 18th, 2009.   Tags: , , , .  Posted in Teaching

The Nielsen Company. (2009). How Teens Use Media: A Nielsen report on the myths and realities of teen media trends.

The fact is, teens are unique, but they are not as bizarre and outlying as some might presume. Sure, they are the digital natives, super-communicators and multi-taskers we hear so much about, but they are also the TV viewers, newspaper readers and radio listeners that some assume they are not. What we have found, across a variety of studies, is that teens embrace new media not at the cost of traditional media, but in supplement to it. Taken on whole, teens exhibit media habits that are more similar to the total population than not.
(Nielsen, 2009, p. 1)

Nielsen. How Teens Use Media. Fig. 1. A day in the life

(Nielsen, 2009, p. 2)

Use and non-use of public libraries in the information age

August 6th, 2009.   Tags: , , , , , .  Posted in Research

Sin, S.-C. J., & Kim, K.-S. (2008). Use and non-use of public libraries in the information age: A logistic regression analysis of household characteristics and library services variables. Library & Information Science Research, 30(3), 207:215.

Icon_pdfDownload preprint (PDF: 344kB)

View article page at the Library & Information Science Research website. (DOI: 10.1016/j.lisr.2007.11.008)    

Abstract

For public libraries to achieve effective strategic planning, they must know who uses the public library and who does not use it. This study examines the characteristics of users and non-users of the public libraries using socio-demographic data from the Current Population Survey, a nationally representative survey of over 50,000 households conducted during October 13–19, 2002, and library services data from the Public Libraries Survey 2002. The study finds 34 variables to be significant. These variables including factors that have not often been studied, such as distance from the library, age/school attendance status, use of other types of library, and public library expenditure per state capita. It is also worth noting that disadvantaged groups, including ethnic minorities, recent immigrants, and people with disabilities, were less likely to use public libraries. This was true even after other factors such as education and income were held constant. The study provides a national-level assessment of the under-served populations. It also offers triangulation to other existing research, particularly qualitative information behavior studies of specific groups.

Findings

Among the 57,148 households surveyed, 27,511 households (48.1%) had a household member who used the public library in the past year.

Based on the findings from the logistic regression analysis, households are more likely to be library users if they have one or more of the following characteristics:

    Household demographics and social characteristics

  • Larger household size
  • Householder is not of ethnic minority
  • Householder is married, and spouse is present
  • Female householder
  • Household that do not include a member with disabilities
  • Household members are not recent immigrants
    Household education characteristics

  • Household with higher education attainment
  • Household with members aged 3 to 20, or 30 to 49, who are attending schools
  • Household with members aged 6 to 13, or 18 to 20, who are not attending schools
  • Household without members aged 21 to 29, or 70 or above, who are not attending schools
    Household economic and job-related characteristics

  • Household with high but not the highest income
  • Household with working householder, especially in managerial or professional occupation
  • Household members own business
  • Household members looking for job
  • Householder did not work too many hours per week
  • Household with a telephone
  • Higher percentage of retired person
  • Lower percentage of working adults
    Household use of libraries

  • Household using PreK-12 libraries, academic libraries, libraries at work, or other libraries

    Household locational characteristics

  • Household that is close by a public library
  • Household that resides in a medium size city
  • Household in the East North Central, West North Central, or Mountain states

    Public Libraries services variables (state level)

  • Household in states where there are more branch libraries per 10,000 population
  • Household in states with higher library collection expenditures per state capita
  • Household in states with higher number public Internet terminals per state capita