b
(SE)
P
-.033* -.005 -.006 .200? .321** .323** 450.773 (106) 0.995 0.055 .010 .285** 456.076 (110) 0.994 0.054
(.013) (.014) (.014) (.113) (.104) (.098)
.085 -.011 -.013 .077 .135 .145
(.007) (.061)
.023 .127
-.048* .030 .044 -.047 -.260** -.162** 678.769 (208) 0.991 0.046 .004 -.155** 690.415 (212) 0.990 0.046
(.021) (.030) (.044) (.067) (.067) (.062)
-.072 .043 .059 -.032 -.180 -.120
(.013) (.037)
.006 -.107
Note: All analyses control for spouse 's education,durationof marriage,numberof children, spouse 's employmentstatus, respondentrace, and respondentgender.N = 1,065 (537 women and 528 men). CFI = ComparativeFit Index; RMSEA = Root Mean Square of Approximation. tp < .10. *p < .05. **p < .01.
tween job satisfaction and marital satisfaction were constrainedto be equal at all three time points, changes in job satisfactionwere not sigrelatedto changesin marital satisfaction nificantly over time. The second row of Model 2 corresponds to our second hypothesisregardingspillover from maritalsatisfaction job satisfaction. to This coefficient was positive and significant,insatisfaction were dicatingthatincreasesin marital significantlyrelatedto increasesin job satisfaction. This is consistentwith the notionof positive spillover.This model also fit the datawell, as indicatedby goodness-of-fit statistics. We compared differencein X2valuesto inthe dicate whetherthe fit of the model was signifi-
cantly improvedby
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