Modeling Campaign Dynamics in the 2008 NAES Richard Johnston University of Pennsylvania Prepared for the Wivenhoe House Conference on Cyberinfrastructure.

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Modeling Campaign Dynamics in the 2008 NAES Richard Johnston University of Pennsylvania Prepared for the Wivenhoe House Conference on Cyberinfrastructure and National Election Studies 8-9 June 2007

Mode Considerations Web: –broader range of stimulus possibilities, including visual –response tends to be more optimized: fewer skips less repetition of response codes less biased by social desirability –unit cost much lower Telephone : –not constrained by size of panel, so sample can be augmented at will –no literacy constraint –conditioning not an issue for pure RCS

Panel Issues Panel advantages: –for an event known in advance, effectively increases the sample size for pre-post comparison –facilitates correction for measurement error, given at least three waves –can add power to RCS dynamic estimations –allows for conditioning later response on earlier positions different groups may respond to a given stimulus in different ways facilitates unpacking causal order where there are plausible claims of endogeneity –post-election wave highly desirable: Reports on election-day behavior cumulative readings (Strictly speaking, these are arguments for a post-election survey, not necessarily for a post-election wave of a panel. But the power of retrospective reports is increased if these can be linked to pre- election waves.) NAES telephone survey reinterview rate ~ 40%  moving a significant portion of effort to Knowledge Networks

Total interviews = 95640Total respondents = 28420

Case Release Matrix for mean of 222 interviews per day, week following 1 st Oct (hypothetical)

Instruments Individual questionnaires equivalent to 18 minutes –some redesign per wave –scope for weekly variation Profiles: core and public affairs

Issues How much common content between telephone and web modes? –mode comparison (for its own sake and as possible bridging to eventual complete transfer) vs. distinctive advantage of each mode How much experimentation in a campaign study?