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. 2020 Nov 10;8:120. doi: 10.1186/s40359-020-00482-6

Table 2.

Model selection for PRLT performance in the two-groups sample

Model Fixed factors df AIC χ2 p
Sat. (0.a) Group, Phase, Log-trial, 2-way interactions, 3-way interaction 19 10,422
1 Saturated minus 3-way interaction 16 10,419 2.418

0.490

(1 ≥ 0.a)

2.1 Model 1 minus Group × Log-trial 15 10,418 1.418

0.227

(2.1 ≥ 1)

2.2b Model 1 minus Phase × Log-trial 13 10,432 18.978

 < 0.001

(1 > 2.2)

2.3 Model 1 minus Phase × Group 13 10,418 4.973

0.174

(2.3 ≥ 1)

2.4 Model 1 minus Group × Log-trial and Phase × Group 12 10,417
3a Model 2.4 minus Group 11 10,416 0.592

0.459

(3 ≥ 2.4)

Significant p values are in italics

aBest fitting model

bAlmost singular fit (given the risk of overfitting, parameters will be estimated both for Model 1 and Model 3) (Although singular models are statistically well defined, singular fits may correspond to overfitted models with low power, and inferential procedures such as likelihood ratio tests may be inappropriate. In our case, singularity is due to the inclusion of Log-trial as a random slope in the model. Although it is theoretically sensible to assume that there are random individual differences in learning rates across participants, random slopes are not necessary to capture statistical dependency between repeated measures and thus to properly estimate within-participant effects. In view of that, and for the sake of consistency, alternative analyses without random slopes in the models are provided in the Additional file)

Sat Saturated