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Table 3 Exponential random graph model to predict information seeking and expertise-recognition ties, using structural, node level, and dyadic configurations

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)

Reciprocity

1.62 (0.7)*

−0.28 (0.8)

Alternating out-k-stars

0.22 (0.3)

0.51 (0.3)

Alternating in-k-stars

0.77 (0.4)*

1.44 (0.3)*

Manager: seeker

0.28 (0.4)

−0.12 (0.3)

Manager: source

−0.30 (0.3)

−0.06 (0.2)

Manager: matching

−0.009 (0.3)

0.18 (0.3)

Supervisory/admin division: seeker

−1.48 (0.6)*

−1.52 (0.6)*

Supervisory/admin division: source

1.65 (0.6)*

1.44 (0.4)*

EBP score: seeker

−0.01 (0.03)

0.01 (0.02)

EBP score: source

0.06 (0.03)*

0.08 (0.03)*

EBP score: similarity

0.90 (0.9)

1.53 (0.9)

Division: matching

2.96 (0.5)*

2.65 (0.5)*

Friendship

1.99 (0.7)*

2.18 (0.8)*

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

ISSN: 1748-5908