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Internet access declines monotonically with age and increases monotonically with education (and income); non-Hispanic Blacks and Hispanics are less likely to have access to the Internet than non-Hispanic Whites and others. These differences in rates of Internet access, sometimes labeled the “digital divide” (Lenhart, Horrigan, Rainie, Allen, Boyce, Madden, and O’Grady, 2003; Norris, 2001), imply serious risks of coverage bias in Web surveys that are intended to produce results that can be generalized to the full population.
Both assume that the estimates from the calibration sample or external source are unbiased or at least closer to the population values than either the unadjusted or adjusted estimates from the Web sample. In addition, the weighting adjustments sometimes increase the bias, resulting in negative reductions in errors. 0). We ignored adjusted estimates that yielded such large increases in bias in calculating the mean reduction on error (and note the number of such outliers that we discarded). 4 also includes median values for our two indicators of the impact of the weighting adjustments.
A similar model presumably would apply to the adoption of the Internet lifestyle. 2, Yt represents the proportion of the population that has adopted the lifestyle at time t (in our case, accessing the Internet from home); Yt–1 represents the proportion in the previous period, time t–1; Kt represents the incentives for adoption at that time, and λ is the rate of habit retention from the previous period, time t–1. Kt reflects such variables as the costs associated with adopting the new lifestyle and the respondent’s income.