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Table 3 Significant moving average and autoregressive parameters and significant predictors (Articles and Blogs) for all members

From: Impact of tailored blogs and content on usage of Web CIPHER – an online platform to help policymakers better engage with evidence from research

Parameters/Predictors

Lag

Estimate

SE

t-statistic

sig

Impact of the number of articles and blogs on usage by all members

 Number of articles

0

0.080

0.026

3.090

0.002

2

0.064

0.026

2.481

0.013

Impact of tailored articles on usage by all members – temporary effects

 Articles on Agency 3’s topic

0

0.854

0.263

3.245

0.001

 Articles on Agency 5’s topic

1

0.671

0.265

2.536

0.011

Impact of tailored articles on usage by all members – sustained effects

 Articles on Agency 3’s topic

0

0.221

0.047

4.654

<0.001

Impact of tailored external blogs on usage by all members – temporary effects

 External blog on Agency 1’s topic

7

–0.668

0.261

−2.561

0.011

 External blog on Agency 2’s topic

1

0.826

0.263

3.143

0.002

 External blog on Agency 4’s topic

9

0.666

0.264

2.519

0.012

Impact of tailored internal blogs on usage by all members – temporary effects

 Internal blog on Agency 1‘s topic

0

–0.665

0.261

−2.545

0.011

 Internal blog on Agency 2’s topic

0

0.650

0.263

2.468

0.014

 Internal blog on Agency 3’s topic

0

0.546

0.264

2.066

0.039