Bayesian benefits with JASP

Figures & data

Figure 1. A screenshot of JASPs graphical user interface; analysis input options can be set in the left panel and dynamically adjusted output is displayed in the right panel.

Figure 2. A scatterplot of scores on the PedsQL-questionnaire measuring QoL and on the BRIEF-questionnaire measuring EF for n = 119 children with ASD.

Figure 3. JASP graphical output for the Bayesian correlation analysis.

Notes: The prior distribution for the correlation coefficient ρ is indicated by a dashed line, and the posterior distribution is indicated by a solid line. Also displayed are the posterior median, the central 95% credible interval, and the Bayes factors BF₁₀ and BF₀₁.

Figure 4. JASP graphical output for the Bayesian correlation analysis incorporating the prior information that ρ > 0.

Notes: The prior distribution for the correlation coefficient ρ is indicated by a dashed line, and the posterior distribution is indicated by a solid line. Also displayed are the posterior median, the central 95% credible interval, and the Bayes factors BF₊₀ and BF₀₊.

Figure 5. JASP graphical output for the sequential analysis that displays the flow of evidence for H₁ : ρ ~ Uniform (−1, 1) vs. H₀: ρ = 0 as the data accumulate.

Note: The sequence of data points n is shown on the x-axis and the associated Bayes factor is shown on the y-axis.