Table 7

Linear model analysis coefficients and SEs for break point in avoidance

Linear model: BAI
pred. sensitivity (d′)
(Intercept)133.41*** (7.78)
BAI (prop. score)−18.55 (20.00)
Gender12.52 (9.52)
Sample−5.39 (9.53)
BAI (prop. score) × Gender42.11 (27.05)
BAI (prop. score) × Sample−12.37 (25.25)
Gender × Sample5.42 (12.91)
BAI (prop. score) × Gender × Sample−30.85 (39.58)
Num. obs.523
R20.105
R2 adj.0.093
AIC5440.4
BIC5478.7
Log. Lik.−2711.198
F8.668
RMSE43.16

  • 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, Log. Lik. = log likelihood, RMSE = root mean squared error.

  • ***p < 0.001.