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Psychology: Research and Review

Table 3 Adjustment indexes of FACES III models in Colombia, Chile, Peru, and Mexico

From: Family functioning in students of health sciences in four Latin American countries: a study of the structure and factorial invariance of the FACES III scale. A cross-sectional study

Model

Country

χ2

df

p

CFI

TLI

SRMR

RMSEA [90% CI]

F1

F2

FG

ω

H

ω

H

ωH

H

ECV

1

Colombia

1214.58

169

< .001

.89

.88

.045

.077 [.073–.081]

.87a

.88

.87a

.88

Chile

1412.85

169

< .001

.86

.85

.055

.090 [.086–.094]

.89a

.89

.89a

.90

Peru

316.46

169

< .001

.88

.87

.058

.070 [.058–.081]

.84a

.86

.84a

.86

Mexico

474.35

169

< .001

.88

.89

.050

.088 [.086–.094]

.90a

.91

.92a

.93

2

Colombia

1214.56

170

< .001

.89

.88

.045

.076 [.072–.080]

.93a

.93

Chile

1550.13

170

< .001

.84

.83

.056

.095 [.090–.099]

.94a

.94

Peru

326.01

170

< .001

.88

.86

.058

.071 [.060–.083]

.91a

.92

Mexico

485.67

170

< .001

.89

.88

.050

.089 [.080–.098]

.95a

 

3

Colombia

1207.39

168

< .001

.89

.87

.045

.077 [.073–.081]

.87c

.87c

Chile

1404.49

168

< .001

.86

.85

.055

.090 [.086–.095]

.89c

.89c

Peru

314.58

168

< .001

.88

.87

.058

.070 [.058–.082]

.85c

.85c

Mexico

471.54

168

< .001

.89

.88

.050

.088 [.078–.097]

.90

.91

4

Colombia

901.42

150

< .001

.92

.90

.038

.068 [.063–.072]

.08b

.35

.06b

.32

.91

.93

.90

Chile

937.71

150

< .001

.92

.90

.039

.072 [.067–.076]

.17b

.62

.04b

.26

.88

.94

.84

Perud

Mexico

347.55

150

< .001

.93

.92

.039

.073 [.063 – .083]

.13b

.45

.11b

.46

.88

.95

.88

  1. χ2 Chi square, df degrees of freedom, SRMR standardized root mean square residual, TLI Tucker-Lewis Index, CFI comparative fit index, RMSEA root mean square error of approximation. Model 1 = Two correlated factor model, Model 2 = Unidimensional model, Model 3 = Second Order General Factor, Model 4 = Bi-factor model, a = Omega de McDonald, b = Hierarchical Omega, c = Compound reliability, H = Coefficient H, ωH = Hierarchical Omega, ECV = explained common variance, d = Convergence problems