Table 2 Mixed logistic models.

From: Spontaneous instrumental avoidance learning in social contexts

 

Model 1: hits

Model 2: hits

Model 3:repetition

Model 4:repetition

Predictors (across models)

Odds Ratios

CI

p

Odds Ratios

CI

p

Odds Ratios

CI

p

Odds Ratios

CI

p

Intercept

1.11

1.07–1.16

< 0.001

0.88

0.81–0.97

0.008

1.09

0.94–1.27

0.258

1.01

0.87–1.16

0.922

Strategy (explicit)

1.25

1.16–1.35

 < 0.001

0.80

0.67–0.95

0.010

0.57

0.43–0.76

 < 0.001

0.57

0.43–0.74

 < 0.001

Hyp(trial)

   

1.30

1.14–1.47

 < 0.001

      

Hyp(trial) * strategy (explicit)

   

1.74

1.36–2.22

 < 0.001

      

Feedback t − 1 (avoidance)

      

1.40

1.25–1.57

 < 0.001

   

Feedback t − 1 (avoidance) * strategy (explicit)

      

2.14

1.73–2.65

 < 0.001

   

subjective value feedback t − 1

         

1.79

1.48–2.16

 < 0.001

subjective value feedback t − 1 * strategy (explicit)

         

3.10

2.20–4.38

 < 0.001

Random effects

σ2

3.29

3.29

3.29

3.29

τ00

0.05subject

0.07subject

0.88subject

0.74subject

τ11

 

0.29subject.hyperbole(trial_num)

0.43subject.rew_prec_factavoidance

1.01subject.subjValue_prec

ρ01

 

 − 0.98subject

 − 0.19subject

 − 0.11subject

ICC

0.01

0.02

0.23

0.22

N

214subject

214subject

214subject

214subject

Observations

62,815

50,240

62,093

62,093

Marginal R2/Conditional R2

0.003/0.017

0.006/0.022

0.024/0.249

0.022/0.241

  1. Controlling for the effect of having an explicit strategy.
  2. Random effects: σ2 = Residual variance, τ00 = random intercept variance, τ11 = random slope variance, ρ01 = random intercept/slope correlation, ICC = Intraclass Correlation Coefficient.
  3. Significant values are in bold.