Health sciences participants reported significantly higher levels of written instructions about the COIP (M = 2.
Health sciences participants reported significantly more personal expressions about the COIP (M = 2.
Hypothesis 2 predicted that differences would exist between groups for COIP knowledge.
There were no significant group differences for knowledge of the COIP scope (see Table 1).
Hypothesis 3 predicted that differences would exist between groups for COIP attitudes.
The goal of this study was to build on previous COIP research by theoretically investigating policy communication, knowledge, and attitudes across disciplines.
Health sciences researchers indicated that they communicated more about the COIP in all five modes than non-health sciences researchers.
This could be due to the fact that the COIP is not something researchers deal with on a daily basis.
05), and that from off-line participation to COIP was not ([beta] = -.
Based on communication infrastructure theory (Kim & Ball-Rokeach, 2006a; Matei & Ball-Rokeach, 2003), we proposed that COIP would be predicted by individual connections to micro- and meso-actors in the local storytelling network (H1-H3).
COIP predicted civic engagement both directly (H6) and indirectly through intergroup interaction (H4, H5).
Direct effect Direct effect Direct effect Variable on on civic on intergroup COIP participation interactions Hypothesized model C-O online participation -- .