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 H1 c (i) environmental values (Dunlap et al. 2000),
H1 c (ii) science attitudes, H1 c (iii) the role of scientists in policy
formation (Steel et al. 2004), H1 c (iv) political ideology (General Social Survey
2006), and H1 c (v) perceptions of dominant barriers to achieving the VRBP’s
objectives (Marshall et al. 2007).
|