Table 1.

Parameter estimates from models 1 and 2

ParametersModel 1Model 2
Fixed effectsb(SE)Sigb(SE)Sig
 (Intercept)3.46 (0.21)***3.51 (0.15)***
 Strengths(Within-Within)−0.01 (0.02)
 Weaknesses(Within-Within)0.08 (0.03)*0.13 (0.02)**
 Weaknesses(App_Cluster_Means)0.17 (0.03)***
 Weaknesses(Rev_Cluster_Means)0.03 (0.02)
Random effects
 By reviewer
  Intercept0.970.62
  Strengths(Within-Within)0.00
  Weaknesses(Within-Within)0.000.00
 By application
  Intercept0.160.00
  Strengths(Within-Within)0.00
  Weaknesses(Within-Within)0.010.00
  Residual0.450.69
  • On the outcome variable (preliminary rating), higher values represent more negative evaluations. The values reported for the random effects are variances. Dashes indicate the predictor was not included in the model. *P < 0.05. **P < 0.01. ***P < 0.001.