Table 2. Tests for respondent attribute affilliation with tie frequency across and within horizonal and vertical scope, worldview characteristic (environmental values, science attitudes, scientist attitudes, political ideology, and barriers to decision making), and expertise type.

Joint-count contingency analysis Structural-block model
Chi-square Significance R-square probablility Number of comparisons (significant)

H1a: horizontal 91.32 0.26 0.74 25(0)
H1b: vertical 33.44 0.38 -- --
H1c (i): environmental values 42.33 0.05 0.13 9(1)
H1c (ii): science attitudes 20.96 0.19 0.48 9(0)
H1c (iii): scientist attitudes 13.07 0.47 0.73 9(0)
H1c (iv): political ideology 43.45 0.05 0.11 9(1)
H1c (v): barrier 86.97 0.10 0.09 49(0)
H1d: expertise 17.90 0.34 0.59 9(1)

Note: Schneider et al. (2003) relate vertical position to levels of government, horizontal position to geographic jurisdiction, expertise position to scientific training, and ideological position to views underlying issue positions. Vertical, horizontal, and expertise codes were coded by researchers using definitions derived from these criteria. The worldview component draws from previously validated survey questions. These include scales developed to assess H1c (i) environmental values (Dunlap et al. 2000), H1c (ii) science attitudes, H1c (iii) the role of scientists in policy formation (Steel et al. 2004), H1c (iv) political ideology (General Social Survey 2006), and H1c (v) perceptions of dominant barriers to achieving the VRBP’s objectives (Marshall et al. 2007).