Sentences with phrase «first hierarchical regression»

The first hierarchical regression analysis investigated the moderating effects of parental and school support on the relationship between peer - victimization and mental health, while considering gender.

Not exact matches

Logistic regression using a hierarchical stepwise method indicated that none of the demographic factors, which were entered first, were found to be predictive of the infants» ability to achieve developmental milestones.

In each regression equation SES was entered first, collective leadership second, and one of the teacher variables third.44 Results of these hierarchical regressions, described in Table 1.1.5, indicate that only motivation explains a unique and significant proportion of variation in student achievement after controlling for student SES.

Two hierarchical multiple regressions were calculated, both of which included estimated METs per week, mean choice reaction time, age, and gender as predictors at the first level and the five NEO-FFI scores at the second - level.

Using the first year women's panel data of Korea Women's Development Institute, a series of analyses including Hierarchical Multiple Regression were taken to examine the comparative influence of socio - demographic factors, factors of the interaction with spouse and factors of the interaction with family of origin, Findings of hierarchical multiple regression identified that the influence of interaction with spouse was high, and factors of interaction with family of origin had a significant influence on marital satisfaction even after controlling the influences of otHierarchical Multiple Regression were taken to examine the comparative influence of socio - demographic factors, factors of the interaction with spouse and factors of the interaction with family of origin, Findings of hierarchical multiple regression identified that the influence of interaction with spouse was high, and factors of interaction with family of origin had a significant influence on marital satisfaction even after controlling the influences of otheRegression were taken to examine the comparative influence of socio - demographic factors, factors of the interaction with spouse and factors of the interaction with family of origin, Findings of hierarchical multiple regression identified that the influence of interaction with spouse was high, and factors of interaction with family of origin had a significant influence on marital satisfaction even after controlling the influences of othierarchical multiple regression identified that the influence of interaction with spouse was high, and factors of interaction with family of origin had a significant influence on marital satisfaction even after controlling the influences of otheregression identified that the influence of interaction with spouse was high, and factors of interaction with family of origin had a significant influence on marital satisfaction even after controlling the influences of other factors.

In hierarchical regression analyses with the various ENRICH factor scores as dependent variables and job satisfaction as the independent variable in the first block, the two SSQ factors in the second block, and the WOC factors in the third block, between 24 and 38 % of the variance in seven of the nine ENRICH factors (not significant model for «Family & Friends» and «Marriage & Children») could be explained by the variation in all the independent variables with varying weight of the several independent variables (Table 3).

Hierarchical linear regressions were conducted in which each social relationship variable at Wave 2 (parent connectedness and supportive friendships) was regressed on its Wave 1 levels, age, gender, race, and Wave 1 sexual risk in the first step.

To test Hypothesis II investigating the effects of parental depression variable on the strength of an association between intelligence and behavior adaptability, first - order interaction variables were created and entered along with demographic covariates in hierarchical regression analyses.