Table 2 Least square mean comparisons for models A_GLM1, B_GLM1, and B_GLMc1.

From: Pessimistic outcome expectancy does not explain ambiguity aversion in decision-making under uncertainty

Model

Contrast

95% Confidence Interval for Odds Ratio

Standard Error

Z-ratio

P-value

Lower

Odds Ratio

Upper

A_GLM1

High risk (50%) –

Ambiguity (?-?)

5.94

9.64

15.64

1.77

12.36

<0.0001

High risk (50%) –

Low risk (25%)

0.00

0.01

0.03

0.00

−10.14

<0.0001

High risk (50%) –

Low risk (75%)

0.01

0.02

0.06

0.01

−10.12

<0.0001

Ambiguity (?-?) –

Low risk (25%)

0.00

0.00

0.00

0.00

−14.22

<0.0001

Ambiguity (?-?) –

Low risk (75%)

0.00

0.00

0.01

0.00

−14.88

<0.0001

Low risk (25%) –

Low risk (75%)

0.67

2.24

7.50

1.03

1.76

0.47

B_GLM1

High risk (50%) –

Ambiguity (?-?)

1.00

1.40

1.97

0.18

2.64

0.05

High risk (50%) –

Low risk (25%)

5.14

8.19

13.06

1.45

11.90

<0.0001

High risk (50%) –

Low risk (75%)

0.08

0.15

0.27

0.03

−8.05

<0.0001

Ambiguity (?-?) –

Low risk (25%)

3.69

5.84

9.24

1.02

10.12

<0.0001

Ambiguity (?-?) –

Low risk (75%)

0.06

0.10

0.19

0.02

−9.50

<0.0001

Low risk (25%) –

Low risk (75%)

0.01

0.02

0.04

0.00

−14.87

<0.0001

B_GLMc1

High risk (50%) –

Ambiguity (?-?)

0.86

1.34

2.07

0.22

1.75

0.48

High risk (50%) –

Low risk (25%)

0.06

0.10

0.16

0.02

−12.75

<0.0001

High risk (50%) –

Low risk (75%)

0.04

0.06

0.11

0.01

−14.17

<0.0001

Ambiguity (?-?) –

Low risk (25%)

0.04

0.07

0.12

0.01

−13.82

<0.0001

Ambiguity (?-?) –

Low risk (75%)

0.03

0.05

0.08

0.01

−15.15

<0.0001

Low risk (25%) –

Low risk (75%)

0.40

0.67

1.12

0.13

−2.05

0.24

  1. P-values and confidence levels are adjusted using Bonferroni correction. Odds ratios represent increases (values > 1) and decreases (values < 1) in odds of placing a bet for model A_GLM1, odds of guessing “win” for model B_GLM1, and odds of responding “sure” for model B_GLMc1, respectively.
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