Question: Descriptives T-Tests ANOVA Mixed Models Regression Frequencies Factor Audit Bain Distributions JAGS Machine Learning Meta-Analysis Network Agreeableness 12 Conscientiousness Neuroticism Covariates Extraversion Bayesian Linear Regression

 Descriptives T-Tests ANOVA Mixed Models Regression Frequencies Factor Audit Bain Distributions

JAGS Machine Learning Meta-Analysis Network Agreeableness 12 Conscientiousness Neuroticism Covariates Extraversion Bayesian

Descriptives T-Tests ANOVA Mixed Models Regression Frequencies Factor Audit Bain Distributions JAGS Machine Learning Meta-Analysis Network Agreeableness 12 Conscientiousness Neuroticism Covariates Extraversion Bayesian Linear Regression Openness . . ... Model Comparison - Neuroticism Models P(M) P(M|data) BFM BF 10 Null model 0.2500 7.5873e -14 2.2762e-13 1.0000 0.0000 Extraversion 0.2500 0.5363 3.4700 7.0687e +12 0.1226 Extraversion + Openness 0.2500 0.4637 2.5937 6.1112e+12 0. 1300 Openness 0.2500 7.7304e -15 2.3191e-14 0. 1019 0.0001 Posterior Summary WLS Weights (optional) Posterior Summaries of Coefficients 95% Credible Interval Bayes Factor Output Coefficient Mean SD P(incl) P(incl|data) BFinclusion Lower Upper BF10 Posterior summary Intercept 2.8265 0.0190 1.0000 1.0000 1.0000 2.7910 2.8640 BFo1 Across all models Extraversion -0.4521 0.0555 0.5000 1.0000 1.1961e +13 -0.5517 -0.3358 O Across matched models Openness 0.0540 0.0699 0.5000 0.4637 0.8646 -0.0019 0.2047 O Log(BF10) Plot of coefficients Omit intercept Posterior Coefficients with 95% Credible Interval Model averaged . .. ... Credible interval 95.0 % 0.4 Order Limit No. Models Shown Compare to best model O No 0.2 T Compare to null model O Yes, show best 10

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