Research Article
Decision Making Processes and Outcomes
Table 3
Linear regression predicting decision quality
.
| | b | SE_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*** |
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Step 1: ; . Step 2: ; model ; . Step 3: ; model ; . Step 4: ; model ; .
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