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. 2020 Nov 19;100(2):397–411. doi: 10.1016/j.psj.2020.11.006

Table 8.

Evaluation of model equations for feather damage (FD) in laying hens.

Evaluation parameter Model FD1 Model FD2 Model FD3 Model FD4 Model FD5
N 114 108 108 108 105
AICc1 181.7 127.2 121.2 126.2 104.7
Mean ± SE2 3.1 ± 0.056 3.0 ± 0.065 3.0 ± 0.066 3.0 ± 0.065 3.0 ± 0.068
SD2 0.6001 0.6757 0.6840 0.6770 0.6970
RMSPE (%)3 12.8 9.9 9.4 9.9 8.7
 ECT (%)4 0.0 0.0 0.0 0.0 0.0
 ER (%)5 1.2 0.6 0.5 0.5 0.4
 ED (%)6 98.8 99.4 99.5 99.5 99.6
CCC7 0.834 0.913 0.922 0.913 0.934
 R8 0.855 0.919 0.927 0.919 0.938
 Cb9 0.975 0.993 0.995 0.993 0.996
 V10 1.252 1.124 1.111 1.122 1.092
 μ11 0.000 0.000 0.000 0.000 0.000
Plots
 Intercept12 0.97 ± 0.12∗ 0.55 ± 0.11∗ 0.50 ± 0.10∗ 0.55 ± 0.11∗ 0.43 ± 0.10∗
 Slope13 0.07 ± 0.06 0.03 ± 0.04 0.03 ± 0.04 0.03 ± 0.04 0.02 ± 0.04

Model evaluation included square root MSPE and CCC analysis as well as evaluation of predicted vs. observed and conditional residual vs. predicted plots. Independent variables included enrichment (Model FD1); enrichment and age (Model FD2); enrichment, age, and beak trimming (Model FD3); enrichment, age, and housing (Model FD4); enrichment, age, beak trimming, and housing (Model FD5—final model).

Abbreviation: MSPE, mean square prediction error.

1

Akaike information criterion as a measure of goodness-of-fit.

2

Mean, SE, and SD of predicted values.

3

Root mean square prediction error expressed as a percentage of the observed mean.

4

Error due to bias expressed as a percentage of MSPE.

5

Error due to regression slope deviation expressed as a percentage of MSPE.

6

Error due to disturbance expressed as a percentage of MSPE.

7

Concordance correlation coefficient calculated as R × Cb.

8

Pearson correlation coefficient.

9

Bias correction factor.

10

Scale shift measure.

11

Location shift measure.

12

Intercept of predicted vs. observed regression as calculated in PROC REG. Values are presented as estimate ±SE and ∗ indicates a significant difference from zero.

13

Slope of conditional residual vs. predicted regression as calculated in PROC REG. Values are presented as estimate ±SE and ∗ indicates a significant difference from zero, P < 0.05.