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Table 6 Model fitting summaries for meta-analyses containing a single fixed-effects explanatory variable

From: A systematic review of phenotypic responses to between-population outbreeding

Model

Fixed effects

DIC

Vs DIC

Δ DIC

Range in DIC

Study variance component

Residual variance component

Min. effective samples

Max. auto-correlation

1

~ Intercept

−576.1

-

-

1.7

0.0200

0.0110

889

0.058

2

~ Generation

−573.4

−576.1

2.7

1.7

0.0204

0.0110

1000

0.027

3

~ Fitness class

−610.9

−576.1

−34.8

1.8

0.0187

0.0102

1000

0.044

4

~ Trait type

−619.4

−576.1

−43.4

1.3

0.0145

0.0099

908

0.032

5

~ Trait timing

−586.6

−576.1

−10.5

0.4

0.0196

0.0107

1000

0.050

6

~ Taxon category

−571.0

−576.1

5.0

1.0

0.0187

0.0111

883

0.061

7

~ log(physical distance)

−467.8

−464.6

−3.2

0.6

0.0246

0.0107

856

0.077

8

~ Lifespan category

−575.6

−576.1

0.5

1.2

0.0194

0.0110

1000

0.028

9

~ Mating system

−574.5

−576.1

1.5

1.2

0.0205

0.0110

1000

0.044

10

~ Population status

−576.7

−576.1

−0.7

1.2

0.0201

0.0109

770

0.041

11

~ Observation environment

−573.6

−576.1

2.4

2.4

0.0178

0.0110

840

0.086

12

~ Quality score

−575.8

−576.1

0.3

3.4

0.0200

0.0109

1000

0.032

  1. DIC (column two) gives the deviance information criterion. “Vs. DIC” gives the DIC for the corresponding model including only an intercept term. “Δ DIC” gives the difference in DIC between columns two and three. Range in DIC gives the range in DIC among three replicate model runs, as an indication of the extent of Monte Carlo error in DIC estimates. Study and residual variance components are variance estimates for study and residual random effects. “Min. effective samples” gives the minimum number of effective samples for the parameters in the model. “Max. auto-correlation” gives the maximum absolute sample autocorrelation at lag 1 for any parameter in the model.