Table 1 Posterior mean β-coefficients and 95% posterior intervals for the Mediator Models using either attention allocation, α, or θ as the dependent variable, and numeracy, problem type, as well as their interaction, as fixed predictors.

From: Attentional dynamics of evidence accumulation explain why more numerate people make better decisions under risk

 

MM

Attention allocation

MM

α

MM

θ

Intercept

0.543

[0.537; 0.548]

3.374

[3.218; 3.531]

0.437

[0.402; 0.47]

Numeracy

0.014

[0.008; 0.019]

0.156

[0.001; 0.311]

0.071

[0.035; 0.105]

Problem type (safe.better)

− 0.03

[− 0.038; − 0.023]

0.312

[0.1; 0.531]

0.005

[− 0.044; 0.055]

Numeracy × problem type (safe.better)

− 0.032

[− 0.04; − 0.024]

0.014

[− 0.205; 0.227]

− 0.06

[− 0.11; − 0.012]

  1. MMs were estimated for different process-level measures as dependent variables (attention allocation, α, and θ). The predictor variable numeracy was z-standardized. Boldface indicates credible effects. MM = Mediator Model.
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