Table 4.

Regressions predicting passive data adherence per group.

Variable	ACL	GPS	VOX	Band
SZ
Age	0.2	0.01	0.25	−0.07
Personal education	−0.53	0.04	0.13	0.48^*
MCCB	0.09	−0.1	−0.17	−0.09
Number of children	−0.14	0.01	−0.02	−0.07
Employment	−0.73	−0.42	−0.48	−0.65
PANSS Positive	−0.42^*	0	−0.09	0.06
BNSS Total	−0.33	−0.23	−0.46^*	0.27
LOF	−0.29	−0.26	−0.45^*	0.22
Overall fit; F (R²)	1.6 (.29)	0.37 (.09)	1.31 (.25)	1.8 (.32)
CN
Age	0.19	−0.39	−0.07	−0.28
Personal Education	−0.06	0.04	−0.2	−0.17
MCCB	−0.24	0.1	−0.07	0.26
Number of children	0.02	0.27	0.38	0.26
Employed	−0.78	−0.07	1.22	1.04
Overall fit; F (R²)	0.66 (.07)	0.85 (0.8)	1.79 (.16)	0.76 (.08)

Note. ACL = Accelerometry, GPS = Geolocation, VOX = Vocal variables, PANSS = Positive and Negative Syndrome Scale, BNSS = Brief Negative Symptom Scale, LOF = Level of Functioning scale. Unless otherwise specified, all values are β. Employment coded 0 or 1, 1 = Unemployed/ Retired. Band data consisted of accelerometry, electrodermal activity, and skin temperature.

^{* =}

p< .05,

^{** =}

p< .01,

^{*** =}

p< .001.