Table 1 Mixed effects logistic regression analysis of the Traditional Task and Cannon Blast.

From: Using smartphones to optimise and scale-up the assessment of model-based planning

 

β (SE)

z value

p-value

Traditional Task

Intercept

1.11 (0.13)

8.84

<0.001***

Reward

0.35 (0.05)

7.08

<0.001***

Transition

0.11 (0.04)

2.58

0.010**

Reward: Transition

0.32 (0.07)

4.82

<0.001***

Cannon Blast

 Intercept

1.51 (0.11)

13.31

<0.001***

 Reward

0.48 (0.07)

6.61

<0.001***

 Transition

−0.11 (0.05)

−2.19

0.030*

 Reward: Transition

0.52 (0.08)

6.13

<0.001***

Full Comparison Model

 Intercept

1.32 (0.09)

15.31

<0.001***

 Reward

0.41 (0.05)

8.86

<0.001***

 Transition

−0.01 (0.04)

−0.16

0.873

 Task

−0.21 (0.09)

−2.46

0.014*

 Reward: Transition

0.42 (0.06)

6.64

<0.001***

 Reward: Task

−0.06 (0.04)

−1.48

0.142

 Transition: Task

0.11 (0.03)

3.98

<0.001***

 Reward: Transition: Task

−0.10 (0.04)

−2.43

0.015*

  1. N = 57.
  2. *p < 0.05, **p < 0.01, ***p < 0.001.
  3. SE Standard Error.
  4. Dependent variable in the model ‘Stay’ coded as (1,0: Stayed, Switched).
  5. Independent variables in the model coded as: Reward (1,-1: Rewarded, Non-Rewarded), Transition (1,-1: Common, Rare); Task (1,-1: Traditional, Cannon Blast).
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