Table 3.
Models predicting mean daily drinking-related outcomes
Model 1 | Model 2 | Model 3 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Average Drinks | β | SE* | LL | UL | P ^ | β | SE | LL | UL | P ^ | β | SE | LL | UL | P ^ |
NA inertia | −.038 | .043 | −.128 | .033 | .160 | −.025 | .041 | −.111 | .053 | .268 | −.034 | .040 | −.102 | .044 | .235 |
PA inertia | −.067 | .042 | −.153 | .001 | .030 | −.050 | .042 | −.137 | .031 | .115 | −.048 | .043 | −.128 | .028 | .145 |
NA variance | −.007 | .027 | −.060 | .041 | .405 | .010 | .029 | −.045 | .061 | .363 | −.006 | .041 | −.090 | .068 | .455 |
PA variance | .008 | .028 | −.050 | .055 | .405 | .027 | .029 | −.018 | .087 | .147 | .036 | .034 | −.035 | .097 | .170 |
Bipolarity | .075 | .024 | .038 | .131 | <.001 | .090 | .026 | .038 | .143 | <.001 | .094 | .025 | .047 | .145 | <.001 |
NA level | .023 | .025 | −.043 | .070 | .195 | .027 | .041 | −.053 | .107 | .265 | |||||
PA level | .012 | .024 | −.023 | .059 | .290 | .030 | .027 | −.027 | .082 | .130 | |||||
Coping motives | |||||||||||||||
NA inertia | .111 | .037 | .038 | .184 | <.001 | .199 | .038 | .130 | .276 | <.001 | .037 | .032 | −.024 | .094 | .135 |
PA inertia | −.060 | .040 | −.156 | .007 | .045 | −.107 | .039 | −.168 | −.028 | .005 | −.035 | .034 | −.109 | .031 | .115 |
NA variance | .325 | .024 | .275 | .366 | <.001 | .360 | .023 | .313 | .398 | <.001 | −.033 | .035 | −.100 | .038 | .200 |
PA variance | .007 | .028 | −.048 | .054 | .425 | −.124 | .027 | −.171 | −.069 | <.001 | −.001 | .028 | −.055 | .053 | .480 |
Bipolarity | .002 | .024 | −.039 | .059 | .460 | .067 | .023 | .021 | .113 | <.001 | .011 | .022 | −.033 | .058 | .330 |
NA level | .498 | .020 | .459 | .539 | <.001 | .540 | .028 | .487 | .596 | <.001 | |||||
PA level | −.104 | .025 | −.145 | −.055 | <.001 | −.074 | .024 | −.124 | −.032 | <.001 | |||||
Enhance motives | |||||||||||||||
NA inertia | −.017 | .040 | −.098 | .058 | .345 | .010 | .038 | −.053 | .099 | .380 | .007 | .041 | −.066 | .100 | .430 |
PA inertia | −.048 | .039 | −.128 | .029 | .110 | −.006 | .041 | −.094 | .067 | .415 | −.011 | .038 | −.091 | .056 | .400 |
NA variance | .062 | .027 | .005 | .109 | .010 | .009 | .027 | −.047 | .062 | .360 | .036 | .040 | −.048 | .104 | .215 |
PA variance | .072 | .029 | .013 | .121 | .005 | .021 | .029 | −.040 | .074 | .240 | .009 | .034 | −.059 | .067 | .375 |
Bipolarity | −.176 | .024 | −.225 | −.135 | <.001 | −.172 | .025 | −.040 | .074 | <.001 | −.148 | .026 | −.199 | −.093 | <.001 |
NA level | .030 | .025 | −.029 | .078 | .120 | −.005 | .039 | −.071 | .080 | .460 | |||||
PA level | .126 | .024 | .083 | .170 | <.001 | .106 | .027 | .050 | .163 | <.001 |
Note. Model 1: Bi-variate associations between dynamic and mean level affect measures and outcomes. Model 2: Dynamic measures entered simultaneously in the same model. Model 3: Dynamic measures and mean affect levels entered simultaneously in the same model. β = standardized regression coefficient.
SE is the Bayesian posterior SD.
One-sided p-value