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Table 3 Conditional logit model estimated from choices of expert respondents

From: The development of ORACLe: a measure of an organisation’s capacity to engage in evidence-informed health policy

Effect

Estimate

Standard error

95% Confidence interval

Intercept

3.59***

0.53

2.55

4.62

a1mca

0.83***

0.15

0.53

1.12

a2mc

0.97***

0.14

0.69

1.24

a3mc

1.07***

0.17

0.74

1.40

a4mc

0.96***

0.16

0.65

1.28

a5mc

0.61***

0.12

0.38

0.84

a6mc

0.75***

0.13

0.49

1.01

a7mc

0.75***

0.15

0.46

1.05

a1sqb

−0.72**

0.22

−1.16

−0.28

a2sq

−0.25

0.22

−0.68

0.19

a3sq

−0.61**

0.23

−1.06

−0.16

a4sq

−0.71**

0.23

−1.16

−0.26

a5sq

−0.67**

0.21

−1.08

−0.26

a6sq

−0.64**

0.22

−1.07

−0.21

a7sq

−0.51*

0.22

−0.95

−0.07

  1. * P <0.05, ** P <0.01, *** P <0.001
  2. aThe ‘mc’ suffix indicates that the domain score has been mean centred (i.e. domain score – 2)
  3. bThe ‘sq’ suffix indicates that the mean centred domain score has been squared