Table 3: Linear regression predicting decision quality .

bSE_b B

Step  1
Age −.029 .013 −.172*
Gender −.513 .602 −.064

Step  2
Age −.021 .012 −.122
Gender −.437 .558 −.054
Experience 161 .315 .036
Working memory 1.532.246 .425***

Step  3
Age −.021 .013 −.124
Gender −.517 .556 −.064
Experience .222 .314 .050
Working memory 1.480 .246 .411***
Proportion of information viewed 2.077 1.192 .125
Noncompensatory search −.752 1.108 −.052

Step  4
Age −.017 .012 −.099
Gender −.597 .493 −.074
Experience .256 .279 .057
Working memory 1.051 .227 .292***
Proportion of information viewed −3.164 1.306 −.191*
Noncompensatory search −.792 .983 −.055
Search selectivity 7.676 1.123 .543***

Step  1: ; . Step  2: ; model ; . Step  3: ; model ; . Step  4: ; model ; .