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 0.134 79.169 1.000 0.325
H_H + Emo + Agr + Con + OtE 0.002 0.094 52.850 0.699 0.319
Psy + H_H + Emo + Con + OtE 0.002 0.084 46.659 0.624 0.319
Psy + H_H + Emo + Agr + Con + OtE 0.002 0.076 41.859 0.564 0.324
Mac + Psy + H_H + Emo + Con + OtE 0.002 0.067 36.793 0.501 0.323
Mac + H_H + Emo + Con + OtE 0.002 0.056 30.086 0.414 0.317
Mac + Psy + H_H + Emo + Agr + Con + OtE 0.002 0.053 28.563 0.395 0.328
Psy + H_H + Emo + Ext + Agr + Con + OtE 0.002 0.049 26.415 0.366 0.328
Mac + H_H + Emo + Ext + Agr + Con + OtE 0.002 0.040 21.450 0.300 0.327
Psy + H_H + Emo + Ext + Con + OtE 0.002 0.034 17.719 0.250 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 3.924 4.021
Mac 0.500 0.500 0.501 0.499 1.003 0.038 0.047 0.000 0.135
Psy 0.500 0.500 0.531 0.469 1.130 0.047 0.055 0.000 0.161
Nar 0.500 0.500 0.176 0.824 0.214 0.004 0.019 -0.010 0.070
H_H 0.500 0.500 1.000 6.109e-5 16369.355 0.221 0.049 0.135 0.321
Emo 0.500 0.500 0.965 0.035 27.467 -0.129 0.048 -0.199 0.000
Ext 0.500 0.500 0.280 0.720 0.389 0.015 0.034 -0.007 0.110
Agr 0.500 0.500 0.624 0.376 1.657 -0.066 0.064 -0.173 0.000
Con 0.500 0.500 1.000 1.148e-5 87128.444 0.232 0.045 0.150 0.316
OtE 0.500 0.500 1.000 2.220e-16 2.939e+15 0.428 0.047 0.341 0.515

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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