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Table 10 Likelihood ratio test comparing probit versus logit models

From: The cost of healthier and more sustainable food choices: Do plant-based consumers spend more on food?

Likelihood criteria

Probit

Logit

L–P

Equation 2FEAH

AIC

3821.365

3815.994

5.370

BIC (df = 31/31/0)

3979.668

3974.297

5.370

Result: difference of 5.370 in BIC provides positive support for logit model

Equation 3FEAFH

AIC

3429.889

3422.091

7.798

BIC (df = 31/31/0)

3588.193

3580.395

7.798

Result: difference of 7.798 in BIC provides strong support for logit model

Equation 4FEAH

AIC

3809.935

3802.539

7.396

BIC (df = 32/32/0)

3973.185

3965.790

7.396

Result: difference of 7.396 in BIC provides strong support for logit model

Equation 5FEAFH

AIC

3423.081

3414.133

8.948

BIC (df = 32/32/0)

3586.331

3577.383

8.948

Result: difference of 8.948 in BIC provides strong support for logit model