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

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

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