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. 2014 May;75(3):486–495. doi: 10.15288/jsad.2014.75.486

Table 3.

Aim 1 multilevel models

Variable Parameter Ambivalence
Problem recognition
Taking steps
Unconditional growth model Final model Unconditional growth model Final model Unconditional growth model Final model
Fixed effects
 Intercept β00 14.799*** 14.386*** 30.639*** 30.048*** 34.316*** 34.721***
 Linear time β10 -1.360*** 0.825** -1.790*** -1.016** -0.592*** -0.844***
 Quadratic time β20 0.207*** 0.105 0.218** 0.067
 PDA-within β30 -2.262*** -3.466*** 4.280***
aPDA-between β01 -1.643* 8.424***
Variance components
 Level 1: Within eij 9.575 9.165 13.577 13.210 24.927 24.240
 Level 2: Initial status r0 7.731*** 9.052*** 14.278*** 15.812*** 13.230*** 7.806***
 Linear time
  Variance r1 3.633** 2.344* 8.150*** 3.813 1.351*** 1.334***
  Covariance with initial status τ10 0.357 -0.185 1.801 2.028 -0.698 -0.648
 Quadratic time
  Variance r2 0.163* 0.143* 0.351*** 0.203
  Covariance with initial status τ20 -0.047 0.127 -0.695 -0.550
  Covariance with linear time τ21 -0.735 -0.55 -1.514 -0.745
 PDA-within r3 6.954* 20.079

Notes: PDA = percentage of days abstinent.

a

PDA-between (p01) association with initial status.

*

p < .05;

**

p < .01;

***

p < .001.