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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