Internet Penetration and Impact
About Us, Methodology
About The Pew Internet & American Life Project
The Pew Internet & American Life Project is a non-profit initiative, fully-funded by The Pew Charitable Trusts to explore the impact of the internet on children, families, communities, health care, schools, the work place, and civic/political life. The Project is non-partisan and does not advocate for any policy outcomes. For more information, please visit our website: http://www.pewinternet.org/.
The newly reported results in this report are based on data from a series of telephone interviews conducted by Princeton Survey Research Associates International between November 2005 and April 2006. For results based on the full sample of 3,011 adults, 18 and older, conducted November 29 – December 31, 2005, one can say with 95% confidence that the error attributable to sampling and other random effects is plus or minus 2 percentage points. For results based on internet users (n=1,931), the margin of error is plus or minus 2 percentage points. For results based on the full sample of 4,001 adults, 18 and older, conducted February 15 – April 6, 2006, one can say with 95% confidence that the error attributable to sampling and other random effects is plus or minus 2 percentage points. For results based adult internet users (n=2,822), the margin of sampling error is plus or minus 2 percentage points. In addition to sampling error, question wording and practical difficulties in conducting telephone surveys may introduce some error or bias into the findings of opinion polls.
The sample for the most recent survey (February 15 – April 6, 2006) is a random digit sample of telephone numbers selected from telephone exchanges in the continental United States. The random digit aspect of the sample is used to avoid “listing” bias and provides representation of both listed and unlisted numbers (including not-yet-listed numbers). The design of the sample achieves this representation by random generation of the last two digits of telephone numbers selected on the basis of their area code, telephone exchange, and bank number.
Sample was released for interviewing in replicates, which are representative subsamples of the larger sample. Using replicates to control the release of sample ensures that complete call procedures are followed for the entire sample. At least 10 attempts were made to complete an interview at sampled households. Calls were staggered over times of day and days of the week to maximize the chance of making contact with potential respondents. Each household received at least one daytime call in an attempt to find someone at home. In each contacted household, interviewers asked to speak with the youngest male currently at home. If no male was available, interviewers asked to speak with the oldest female at home. This systematic respondent selection technique has been shown to produce samples that closely mirror the population in terms of age and gender.
Non-response in telephone interviews produces some known biases in survey-derived estimates because participation tends to vary for different subgroups of the population, and these subgroups are likely to vary also on questions of substantive interest. In order to compensate for these known biases, the sample data are weighted in analysis. The demographic weighting parameters for the most recent sample (February 15 – April 6, 2006) are derived from a special analysis of the Census Bureau’s March 2005 Annual Social and Economic Supplement Survey. This analysis produces population parameters for the demographic characteristics of adults age 18 or older, living in households that contain a telephone. These parameters are then compared with the sample characteristics to construct sample weights. The weights are derived using an iterative technique that simultaneously balances the distribution of all weighting parameters.