Table 5

Multilevel model analysis coefficients and SEs for effort in avoidance

Multilevel model:
BAI pred. effort
(Intercept)5.74*** (0.26)
BAI (prop. score)0.63 (0.68)
Block0.91 ***
1 (0.02)
Gender0.29 (0.32)
Sample0.42 (0.33)
BAI (prop. score) × Block0.16*** (0.05)
BAI (prop. score) × Gender0.97 (0.92)
Block × Gender0.04* (0.02)
BAI (prop. score) × Sample0.65 (0.87)
Block × Sample0.01 (0.03)
Gender × Sample0.19 (0.44)
BAI (prop. score) × Block × Gender0.19 ** (0.06)
BAI (prop. score) × Block × Sample0.06 (0.07)
BAI (prop. score) × Gender × Sample0.94 (1.36)
Block × Gender × Sample0.04 (0.04)
BAI (prop. score) × Block × Gender × Sample0.08 (0.11)
SD (intercept participant)1.42
SD (observations)1.91
Num. obs.52,261
R2 marg.0.289
R2 cond.0.542
AIC218,248.5
BIC218,408.1
ICC0.4
RMSE1.90
  • 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 < 0.05, **p < 0.01, ***p < 0.001.