Table 1 Log-likelihoods and AIC_Cs for the rank-ordered logistic regression models predicting participants’ rankings for each criterion set from their BWS or Likert scores. Higher log-likelihoods, and lower values of Akaike’s bias-corrected information criterion (AICC) (i.e. closer to zero for both measures) indicate better model fit. Models using best-worst scaling (BWS) scores achieved better fit for each of the six criterion sets. This improvement is reflected by the difference between AIC_C values for the two models (∆_i), which are > 10 for all criterion sets, indicating a substantial improvement in model fit (Symonds & Moussalli, 2011)

From: Best-worst scaling improves measurement of first impressions