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Table 3 Degree of model fit of the exercise addiction inventory in six samples from five different countries and tests of measurement invariance

From: A cross-cultural re-evaluation of the Exercise Addiction Inventory (EAI) in five countries

 

χ 2

df

p -Value

RMSEA

Cfit of RMSEA

CFI

TLI

SRMR

Δ χ 2

Δ df

p -Value

ΔRMSEA

ΔCFI

Confirmatory factor analysis in each country separately

Spain

6.1

9

0.727

<0.001

0.946

1.000

1.000

0.022

     

UK

32.6

9

<0.001

0.094

0.017

0.942

0.903

0.042

     

US

58.4

9

<0.001

0.065

0.051

0.920

0.867

0.033

     

Denmark

14.3

9

0.113

0.032

0.828

0.985

0.975

0.024

     

Hungary

21.4

9

0.011

0.049

0.491

0.976

0.961

0.027

     

Hungary_2

80.5

9

<0.001

0.054

0.266

0.949

0.915

0.027

     

Multigroup analyses to test the measurement invariance

Configural invariance

211.5

54

<0.001

0.055

 

0.955

0.925

0.029

     

Configural vs. metric invariance

        

114.2

25

<0.001

0.002

0.025

Metric invariance

325.4

79

<0.001

0.057

 

0.930

0.920

0.051

     

Metric vs. scalar invariance

        

2,140.0

25

<0.001

0.093

0.571

Scalar invariance

2,346.2

104

<0.001

0.150

 

0.361

0.447

0.136

     
  1. The latent variables were identified by fixing one factor loading being equal to 1.
  2. χ 2 Chi-square value of model fit of each model, df degree of freedom, RMSEA root mean squared error of approximation, Cfit of RMSEA is a statistical test that evaluates the statistical deviation of RMSEA from the value 0.05, and non-significant probability values (p > 0.05) indicate acceptable model fit; CFI comparative fit index, TLI Tucker–Lewis index, SRMR the standardized root mean square residual, Δχ 2 Satorra–Bentler scaled (S–B scaled) χ 2 difference test, Δdf the difference of df in two models compared, ΔRMSEA the difference of RMSEA values in two models compared, ΔCFI the difference of CFI values in two models compared.