Indices

MTO*

MTA*

Criteria/Acceptable/Ideally range

Stat

p-value

Stat

p-value

Average path coefficient (APC)

0.29

p < 0.001

0.33

p < 0.001

Average R-squared (ARS)

0.49

p < 0.001

0.51

p < 0.001

Average adjusted R-squared (AARS)

0.47

p < 0.001

0.50

p < 0.001

Average block VIF (AVIF)

1.46

1.51

acceptable if ≤ 5, ideally ≤ 3.3

Average full collinearity VIF (AFVIF)

2.02

1.94

acceptable if ≤ 5, ideally ≤ 3.3

Tenenhaus GoF (GoF)

0.53

0.55

small ≥ 0.1, medium ≥ 0.25, large ≥ 0.36

Sympson’s paradox ratio (SPR)

0.89

1.00

acceptable if ≥ 0.7, ideally = 1

R-squared contribution ratio (RSCR)

0.99

1.00

acceptable if ≥ 0.9, ideally = 1

Statistical suppression ratio (SSR)

1.00

0.89

acceptable if ≥ 0.7

Nonlinear bivariate causality direction ratio (NLBCDR)

1.00

1.00

acceptable if ≥ 0.7

Standardized root mean squared residual (SRMR)

0.12

0.13

acceptable if ≤ 0.1

Standardized mean absolute residual (SMAR)

0.10

0.10

acceptable if ≤ 0.1

Standardized chi-squared with X degrees of freedom (SChS)

32199

p < 0.001, for 594 df

28624

p < 0.001,

for 434 df

Standardized threshold difference count ratio (STDCR)

0.89

0.88

acceptable if ≥ 0.7, ideally = 1

Standardized threshold difference sum ratio (STDSR)

0.72

0.69

acceptable if ≥ 0.7, ideally = 1