. Author manuscript; available in PMC: 2014 Aug 1.

Published in final edited form as: J Consult Clin Psychol. 2013 Apr 29;81(4):10.1037/a0032879. doi: 10.1037/a0032879

Table 3.

Multilevel Models Predicting Depressive Symptom Composite Scores across 14 Assessments

Fixed Effect B(SE)	Linear Model	Log-linear Model
Intercept	47.21 (0.58)^*	53.33 (0.59)^*
Assessment slope	−2.30 (0.058)^*	−29.93 (0.68)^*
Random Effects Variance Estimate (SE)
Intercept	104.95 (8.97)^*	104.33 (9.34)^*
Assessment slope	0.99 (0.090)^*	134.59 (12.24)^*
Model Fit
Bayes Information Criterion	36495	35851

Note. N = 362. Composite scores are the standardized average of the 21-item Beck Depression Inventory, 17-item Hamilton Rating Scale for Depression, and 30-item Inventory for Depressive Symptomatology--Self-Report. Assessment slopes computed with assessment coded 1-14 in linear models and log(assessment) in the log-linear models. Smaller Bayes Information Criterion values indicate better model fit.

p < .01.