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Table 4 Comparison of factor loading unstandardized parameter estimates: maximum likelihood versus Bayesian estimation

From: Predicting aggression in children with ADHD

  Estimation approach
Measurement (CFA) model ML Bayesian
Parent rejection →Warmth 1 1
→Aggression 2.732 2.75
→Neglect 1.867 1.70
→Rejection 1.715 1.73
Family Factors →Aggression of Mom, Present 0.912 0.86
→Aggression of Dad Present 0.706 0.65
→Aggression of Mom, Past 0.261 0.26
→Aggression of Dad Past 1 1
→Number of people living in the home 1.492 1.48
→Number of siblings 1 1
Cognitive Factors →Verbal IQ 3.344 3.42
→Performance IQ 2.883 2.65
→School success 1 1
Aggression at Home →Verbal aggression 5.474 5.65
→Aggression against objects 1 1
→Provoked aggression 2.292 2.15
→Initiated aggression 1.948 1.93
→Weapon use 0.035 0.04
Aggression at School →Verbal aggression 2.535 2.40
→Aggression against objects 1 1
→Provoked aggression 1.582 1.66
→Initiated aggression 1.251 1.25
→Weapon use 0.035 0.03
Structural model   
Parent rejection →Aggression at Home 0.101 0.11
Parent rejection →Aggression at School 0.051 0.06
Family Factors →Aggression at Home 6.129 6.13
Family Factors →Aggression at School 4.959 4.59
Cognitive Factors →Aggression at Home -0.043 -0.03
Cognitive Factors →Aggression at School -0.024 -0.04