. Author manuscript; available in PMC: 2021 Nov 1.

Published in final edited form as: J Subst Abuse Treat. 2020 Aug 29;118:108122. doi: 10.1016/j.jsat.2020.108122

Table 1.

(Updated) Latent Growth Curve Models Predicting Drinking from Speech Trajectories

Speech Predictor Variable	Session 1 → Mid-Treatment IP Percent Days Abstinent (PDA) (n = 165)				Session 8/9 → End-of-Treatment IP Percent Days Abstinent (PDA) (n = 114)
	B (SE)		β	p	B (SE)		β	p
IP CT
Slope	−3.521	(5.872)	−.247	.549	3.759	(4.158)	.936	.366
Intercept	1.119	(2.139)	.205	.601	−1.111	(1.234)	−.829	.368
IP ST
Slope	−0.025	(0.886)	−.130	.978	7.706	(3.857)	.896	.046
Intercept	0.008	(0.615)	.060	.990	−1.073	(0.766)	−.495	.161
SO CT
Slope	−1.671	(5.614)	−.133	.766	0.040	(0.092)	.547	.668
Intercept	1.529	(2.690)	.231	.570	0.001	(0.364)	.005	.997
POS
Slope	−2.658	(2.810)	−.560	.344	0.004	(0.014)	.281	.749
Intercept	1.007	(0.833)	.684	.227	−0.005	(0.018)	−.278	.788
NEG
Slope	−0.007	(0.000)	−.035	–^*	0.468	(1.460)	.298	.749
Intercept	−0.004	(0.016)	−.252	.825	−0.457	(0.486)	−.896	.347

Note: Significant results (p < .05) are in bold.

^{* =}

Fixed path, probability undefined.

IP = identified patient, SO = significant other, CT = change talk, ST = sustain talk, POS = positive behaviors, NEG = negative behaviors. All models controlled for IP sex (male/female), baseline PDA, and baseline days since the last reported drink.