Table 1.
Fitted Values of Six Distributions When Fitted to Four Conditional Responses.
Distribution |
||||||
---|---|---|---|---|---|---|
Conditional response | Normal | Ex-Gaussian | Weibull | Log-normal | Gamma | Gumbel |
Y | context = abstract, law = negative conjunction | 2606.391 [2612.217] | 2577.956 [2586.694] | 2579.473 [2585.298] | 2575.598 [2581.423] | 2573.227 [2579.052] | 2660.631 [2666.456] |
Y | context = abstract, law = negative disjunction | 2559.077 [2564.902] | 2529.083 [2537.821] | 2540.034 [2545.859] | 2525.525 [2531.350] | 2527.435 [2533.260] | 2622.958 [2628.784] |
Y | context = with cues, law = negative conjunction | 2650.538 [2656.363] | 2648.110 [2656.848] | 2646.153 [2651.978] | 2671.207 [2677.033] | 2651.600 [2657.425] | 2692.538 [2698.363] |
Y | context = with cues, law = negative disjunction | 2680.437 [2686.262] | 2670.777 [2679.515] | 2672.717 [2678.543] | 2678.367 [2684.193] | 2668.807 [2674.633] | 2723.768 [2729.593] |
Median AIC [Median BIC] | 2628.464 [2634.29] | 2613.033 [2621.771] | 2612.813 [2618.638] | 2623.402 [2629.228] | 2612.413 [2618.239] | 2676.584 [2682.41] |
Note. AIC = Akaike information criterion; BIC = Schwarz Bayesian information criterion; the lower these values, the better the fitting. “Y” corresponds to the dependent variable (“fixation times” in this case). The lowest AIC values for each conditional response are shaded. The average AIC values given by the distributions across conditional responses are shown in the last row and the lowest AIC values appear in bold.