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Table 1 Summary table of GLMM for the top-ranking model (Class + (1|observer) testing the differences in the proportion of correct assignments between classes

From: Developing and validating a nestling photographic aging guide for cavity-nesting birds: an example with the European Bee-eater (Merops apiaster)

Fixed effectsEstimateSEZ-value95% lower CI95% upper CI
Intercept1.600.632.540.362.84
Class 4− 0.350.84− 0.420.142.36
Class 7− 2.060.79‒2.58− 1.390.49
Class 10− 0.650.82‒0.79− 0.071.98
Class 130.470.980.470.603.54
Class 1624.60512.000.04− 977.281029.71
Class 19− 0.350.84− 0.420.142.36
Class 22− 0.650.82− 0.79− 0.071.98
Class 25− 1.380.79− 1.75− 0.701.15
Class 28− 1.380.79− 1.75− 0.701.15
Random effectVarianceSD   
Observer00   
  1. The model was run with a binomial error structure and logit link function. N = 18 age estimations per age class. Estimates, standard errors (SE), and 95% confidence intervals (95% lower and upper CI) are presented. Positive and negative estimates indicate a higher or lower proportion of correct assignments of a given class compared to age class 1 (intercept)