Social and organizational factors affecting implementation of evidence-informed practice in a public health department in Ontario: a network modelling approach

Table 2 Multilevel logistic regression to predict information seeking and expertise-recognition ties, using node level, and dyadic variables

	Information seeking coefficient (SE)	Expertise recognition coefficient (SE)
Manager: seeker	0.66 (0.5)	−0.3 (0.4)
Manager: source	−0.3 (0.4)	−0.6 (0.6)
Manager: matching	−0.4 (0.4)	−0.2 (0.3)
Supervisory/admin division: seeker	−0.7 (0.7)	−2.0 (0.7)**
Supervisory/admin division: source	1.4 (0.6)*	2.9 (0.8)***
EBP score: seeker	−0.002 (0.04)	−0.01 (0.03)
EBP score: source	−0.01 (0.03)	0.2 (0.05)***
EBP score: absolute difference	0.007 (0.04)	−0.003 (0.03)
Division: matching	3.1 (0.5)***	2.5 (0.5)***
Expertise recognition	3.1 (0.5)***	-
friendship	2.4 (0.8)**	2.4 (0.8)**
Intercept	−5.5 (1.0)***	−6.4 (1.2)***
Random effect variance: seeker	0.43 (0.4)	0.3 (0.3)
Random effect variance: source	~0	1.4 (0.9)

Coefficients represent the log odds ratio (SE) of the likelihood of tie formation.
*: p < 0.05, **: p < 0.01, ***: p < 0.001.

ISSN: 1748-5908