Table 1.
Variable | H1. | H2. | H3. | W1. | W2. | W3. |
---|---|---|---|---|---|---|
H1. T1 H’s Lifetime AUD | -- | |||||
H2. T2 H’s P/N Ratio | −.02 | -- | ||||
H3. T4 H’s Dyadic Adjustment | −.02 | .06 | -- | |||
W1. T1 W’s Lifetime AUD | .20* | .10 | −.18a | -- | ||
W2. T2 W’s P/N Ratio | −.17a | .40** | .20* | .06 | -- | |
W3. T4 W’s Marital Satisfaction | −.15 | .15 | .71** | −.28** | .26** | -- |
M | .68 | .63 | 109.7 | .37 | .66 | 109.7 |
SD | .47 | .29 | 18.4 | .49 | .30 | 18.7 |
Note. Bolded coefficients test the hypothesis that husbands’ and wives’ scores on the same variables are independent (Kenny et al., 2006). P/N = ratio of positive to negative behaviors. Means for dichotomous variables are proportions, correlations between dichotomous variables are kappa coefficients, and correlations between dichotomous and continuous variables are point-biserial coefficients.
p<.10.
p < .05.
p < .01.