A life insurance calculator is a great tool to help users determine two
main variable factors in case of death:
Not exact matches
Taking into account this socio - economic
factor is the study's
main innovation: «We quantified a
variable that is often difficult to predict.
«Reductionism by definition seeks to eliminate all «confounding»
factors: any
variables that might influence the outcome in addition to the
main substance under investigation.
In a model with the SSQ
factors as dependent
variables the WOC reported situation categories was the only fixed
factor of substantial
main effect (based on significant differences for «SSQ satisfaction»).
In MANOVA (Table 2) with the marital satisfaction
factors of the ENRICH as dependent
variables a model with a
main effect for WOC situations (based on significant differences for «Conflict Resolution», «Sexual Activities», and «Family and Friends») and the co-variate effect of the women's age (based on significant differences for «Religious orientation») could be evaluated.
In the three - way - analysis of variance with partnership, age, and education as
factors and the AAS depend as continuous dependent
variable (N = 1675), three small but relevant significant
main effects of partnership, F (1, 1663) = 24.41, p < 0.001, η2 = 0.01, age, F (2, 1663) = 8.56, p < 0.001, η2 = 0.01, and education, F (1, 1663) = 11.92, p < 0.001, η2 = 0.01 were observed.
The internalizing x externalizing interaction
factor was a statistically significant predictor of the intercept for dichotomous
variables when it was specified at W1, W2, W4, and W5, βs = − 11.80 to − 3.23, ps < 0.05, and the nature of this interaction was similar to that described in our
main analysis with W3 specified as the intercept.