Table 11

Multilevel model analysis coefficients and SEs for effort in reward-seeking

Multilevel model:
BAI pred. effort
(Intercept)5.27*** (0.26)
BAI (prop. score)1.44* (0.71)
Block−0.87 ***
1 (0.02)
Gender1.30*** (0.31)
Sample1.08* (0.49)
BAI (prop. score) × Block0.00 (0.05)
BAI (prop. score) × Gender−3.35 *** (0.93)
Block × Gender−0.03 (0.02)
BAI (prop. score) × Sample−2.92 + (1.52)
Block × Sample−0.12 ** (0.04)
Gender × Sample−2.05 ** (0.76)
BAI (prop. score) × Block × Gender0.15* (0.07)
BAI (prop. score) × Block × Sample0.39** (0.13)
BAI (prop. score) × Gender × Sample3.62 (4.81)
Block × Gender × Sample0.22*** (0.06)
BAI (prop. score) × Block × Gender × Sample−0.79 + (0.42)
SD (intercept participant)1.30
SD (observations)1.98
Num. obs.37,677
R2 marg.0.282
R2 cond.0.498
AIC159,770.0
BIC159,923.7
ICC0.3
RMSE1.98

  • BAI (prop. score) = anxiety score on the Beck Anxiety Inventory. Proportion scores are scores divided by total possible score. AIC = Akaike information criterion, BIC = Bayesian information criterion, ICC = intraclass correlation, RMSE = root mean squared error.

  • +p < 0.1, *p < 0.05, **p < 0.01, ***p < 0.001.