Results

Bayesian Linear Regression

Model Comparison - Need_Cognition
Models P(M) P(M|data) BFM BF10
Mac + H_H + Emo + Agr + Con + OtE 0.002 0.136 80.408 1.000 0.325
H_H + Emo + Agr + Con + OtE 0.002 0.105 59.946 0.772 0.319
Psy + H_H + Emo + Con + OtE 0.002 0.094 52.788 0.689 0.319
Psy + H_H + Emo + Agr + Con + OtE 0.002 0.076 42.212 0.561 0.324
Mac + Psy + H_H + Emo + Con + OtE 0.002 0.068 37.053 0.497 0.323
Mac + H_H + Emo + Con + OtE 0.002 0.062 33.776 0.456 0.317
Mac + Psy + H_H + Emo + Agr + Con + OtE 0.002 0.048 25.786 0.353 0.328
Psy + H_H + Emo + Ext + Agr + Con + OtE 0.002 0.045 23.835 0.328 0.328
Mac + H_H + Emo + Ext + Agr + Con + OtE 0.002 0.036 19.327 0.268 0.327
Psy + H_H + Emo + Ext + Con + OtE 0.002 0.033 17.710 0.246 0.321
Note.  Table displays only a subset of models; to see all models, select "No" under "Limit No. Models Shown".

Posterior Summary

Posterior Summaries of Coefficients
95% Credible Interval
Coefficient P(incl) P(excl) P(incl|data) P(excl|data) BFinclusion Mean SD Lower Upper
Intercept 1.000 0.000 1.000 0.000 1.000 3.970 0.026 3.919 4.021
Mac 0.500 0.500 0.483 0.517 0.935 0.037 0.047 0.000 0.133
Psy 0.500 0.500 0.516 0.484 1.066 0.047 0.056 0.000 0.160
Nar 0.500 0.500 0.160 0.840 0.191 0.004 0.018 -0.022 0.051
H_H 0.500 0.500 1.000 6.713e-5 14896.342 0.221 0.049 0.127 0.317
Emo 0.500 0.500 0.963 0.037 25.926 -0.130 0.048 -0.230 -0.030
Ext 0.500 0.500 0.257 0.743 0.346 0.014 0.033 -0.005 0.114
Agr 0.500 0.500 0.606 0.394 1.540 -0.065 0.065 -0.178 0.000
Con 0.500 0.500 1.000 1.131e-5 88403.433 0.234 0.045 0.145 0.321
OtE 0.500 0.500 1.000 4.441e-16 5.178e+15 0.432 0.047 0.337 0.525

Inclusion Probabilities

Bayesian Correlation

Bayesian Pearson Correlations
      Pearson's r BF₁₀
Need_Cognition - Mac -0.018 0.039
Need_Cognition - Psy -0.040 0.053
Need_Cognition - Nar -0.074 0.138
Need_Cognition - H_H 0.235 *** 29351.437
Need_Cognition - Emo -0.201 *** 717.321
Need_Cognition - Ext 0.202 *** 784.480
Need_Cognition - Agr -0.105 0.533
Need_Cognition - Con 0.352 *** 2.362e+12
Need_Cognition - OtE 0.424 *** 1.638e+19
Mac - Psy 0.461 *** 3.271e+23
Mac - Nar 0.400 *** 5.008e+16
Mac - H_H -0.536 *** 8.267e+33
Mac - Emo 0.035 0.049
Mac - Ext 0.038 0.052
Mac - Agr -0.193 *** 324.954
Mac - Con -0.189 *** 216.024
Mac - OtE 0.104 0.491
Psy - Nar 0.257 *** 494757.611
Psy - H_H -0.444 *** 2.913e+21
Psy - Emo -0.105 0.529
Psy - Ext -0.225 *** 9636.754
Psy - Agr -0.332 *** 5.300e+10
Psy - Con -0.218 *** 4444.843
Psy - OtE -0.052 0.070
Nar - H_H -0.464 *** 7.000e+23
Nar - Emo 0.153 * 10.971
Nar - Ext 0.070 0.119
Nar - Agr -0.135 3.053
Nar - Con -0.089 0.247
Nar - OtE 0.021 0.041
H_H - Emo -0.047 0.062
H_H - Ext 0.019 0.039
H_H - Agr 0.084 0.200
H_H - Con 0.270 *** 2.983e+6
H_H - OtE -0.015 0.038
Emo - Ext -0.227 *** 12309.837
Emo - Agr -0.124 1.463
Emo - Con -0.177 ** 73.555
Emo - OtE -0.043 0.056
Ext - Agr 0.204 *** 1004.760
Ext - Con 0.188 *** 202.833
Ext - OtE 0.273 *** 4.555e+6
Agr - Con -0.022 0.041
Agr - OtE -0.076 0.146
Con - OtE 0.169 ** 38.215
*  BF₁₀ > 10, ** BF₁₀ > 30, *** BF₁₀ > 100

Bayesian Linear Regression

Model Comparison
Models P(M) P(M|data) BFM BF10
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