Table 4.

Evidence Use Output Scale, Subscales, and Item Statistics.

							Factor Loadings
Output items	Mean	SD	ev	v	a	h2	1	2
1. Use the Evidence	3.65	0.53	3.77	31.43	0.80
To support decision on adopting program	3.95	0.79				.518	.718	.005
To find a program that meets needs of clients	3.76	0.81				.389	.633	−.046
To determine if program could harm participants	3.91	0.87				.403	.628	.026
To eliminate ineffective programs	3.65	0.84				.347	.601	−.063
To compare multiple programs strengths and weaknesses	3.27	0.87				.318	.569	−.019
To consider information from experts/community members	3.84	0.72				.289	.530	.027
To find the money to implement if evidence is strong enough	3.24	0.85				.248	.496	.011
Review evidence as a team with partner agencies	3.57	0.85				.205	.438	.050
2. Ignore the Evidence	3.18	0.87	2.33	19.42	0.84
If program is not feasible for my county/state	3.20	1.00				.702	−.102	.857
If no resources to implement	3.21	1.13				.695	.039	.823
If program is too rigid	3.02	1.07				.455	−.082	.690
If program doesn’t match staff skill level	3.28	1.04				.504	.201	.633
Total output	3.22	0.46			0.80
Total SIEU	3.38	0.37			0.88

Note. N = 202. SIEU = Standard Interview for Evidence Use; SD = standard deviation; ev = eigenvalue; v = variance accounted for, a = alpha; h² = commonalities. Factor loadings: pattern.