By R. Robert Huckfeldt
This publication is devoted to investigating the political implications of interdependent voters in the context of the 1984 presidential election crusade because it was once skilled within the metropolitan quarter of South Bend, Indiana. nationwide politics is skilled in the neighborhood via a chain of filters precise to a specific atmosphere. a number of varied topics are explored: the dynamic implications of social conversation between electorate, the significance of conversation networks for citizen decision-making, the workout of citizen objective in finding assets of data, the limitations on person selection, and institutional and organizational results.
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Extra info for Citizens, Politics and Social Communication: Information and Influence in an Election Campaign
The South Bend area enjoys other benefits as well: a culturally heterogeneous population that includes Hispanics and blacks as well as a range of European ethnic groups, inexpensive housing and a relatively low cost of living, a symphony orchestra, a revitalizing downtown and a strong neighborhood life, with neighborhood bars, ethnic restaurants, and a wide variety of religious parishes. Shortly after our study's field work was completed, the city became the home of the South Bend White Sox - a Chicago White Sox organization farm team that plays in South Bend's newly constructed Stan Covaleski Stadium.
This last information makes possible the snowball component to the survey - interviews with network members other than the main respondent. Out of the 1,511 respondents to the third wave of the survey, 1,254 had been interviewed previously (926 "A" respondents and 328 "B" respondents). The response rate for the 257 new "C" respondents was 42 percent. This continued low response rate was due to the same factors operating previously in the second wave. Indeed, the refusal rate among "C" respondents dropped to only 5 percent.
Even if the requisite individual-level data are available, there may be some profound dangers in ignoring the contextual dependence of a] and b] on their local environments by simply regressing y on x using the pooled individual-level data. ) The simplest Boyd-Iversen generalization is to express both the slope and the intercept of the individual-level model as a linear function of the group means. aj = a' + a"Xj (2) b, = b' + b"x_} (3) Substituting equations 2 and 3 into equation 1 produces the single equation form.