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. Author manuscript; available in PMC: 2019 Feb 14.
Published in final edited form as: Am J Drug Alcohol Abuse. 2018 Feb 14;44(5):532–542. doi: 10.1080/00952990.2018.1430149

Table 2.

Separate Generalized Estimating Equations Analyses of the Lagged Effects of State Anxiety on Cannabis Use.

Parameter Estimates B SE Wald χ2 df p
For the model involving the predictor variable of Cluster D status
Cluster D status 0.77 0.31 6.03 1 .014
Between-person mean lagged state anxiety 0.02 0.03 0.41 1 .523
Within-person mean lagged state anxiety 0.22 0.07 10.36 1 .001
Cluster D status * Between-person mean lagged state anxiety −0.05 0.05 1.01 1 .315
Cluster D status * Within-person mean lagged state anxiety
−0.41 0.13 9.82 1 .002

For the model involving the predictor variable of Cluster B status
Cluster B status 0.54 0.41 1.69 1 .194
Between-person mean lagged state anxiety −0.00 0.03 0.01 1 .929
Within-person mean lagged state anxiety 0.19 0.11 2.93 1 .087
Cluster B status * Between-person mean lagged state anxiety 0.01 0.04 0.03 1 .858
Cluster B status * Within-person mean lagged state anxiety −0.26 0.14 3.57 1 .059

For the model involving the predictor variable of Cluster C status
Cluster C status 1.01 0.28 12.64 1 <.001
Between-person mean lagged state anxiety −0.01 0.04 0.05 1 .832
Within-person mean lagged state anxiety 0.28 0.06 19.76 1 <.001
Cluster C status * Between-person mean lagged state anxiety 0.02 0.05 0.11 1 .743
Cluster C status * Within-person mean lagged state anxiety −0.36 0.10 13.85 1 <.001