Sentences with phrase «with hierarchical regression analyses»

At a preliminary stage, before testing hypotheses with Hierarchical Regression Analyses, Confirmatory Factor Analyses (CFAs) as implemented by AMOS [50].

Not exact matches

Three analyses were conducted with the cross-sectional data using teachers» WSS ratings of student achievement and students» WJ - R standard scores: a) correlations comparing the students» standard scores on the various subtests of the WJ - R and the WSS checklist and summary report ratings of student achievement within the corresponding WSS domains, b) four - step hierarchical regressions examining the different factors that accounted for the variance in students» spring WJ - R scores, and c) Receiver - Operating - Characteristic (ROC) curves, which make possible a determination of whether a random pair of average and below - average scores on the WJ - R would be ranked correctly in terms of performance on the WSS.

Hierarchical Multiple Regression Analyses Predicting Depression, State and Trait Anxiety, Externalizing and Internalizing Behavior Problems in Children With Rheumatic Diseases

Contrary to expectation, the presence of painful symptoms in patients was not statistically significantly associated with partners» psychological distress in the hierarchical regression analysis, despite 65.1 % of partners having reported the presence of painful symptoms in the patient.

An examination of collinearity was undertaken comparing changes in the standard errors and magnitude and sign (positive or negative) of the bivariate analyses results with the standard bivariate regression models for each sex and the full hierarchical regression models.

To test the hypothesis, Muise conducted an online survey with 308 respondents, age 17 to 24, and used hierarchical multiple regression analysis, controlling for individual, personality and relationship factors (to tease out what's Facebook's contribution to jealousy).

The hierarchical regression analysis (block 3) revealed that, in women, positive coping was significantly associated with PTSD symptoms (β = − 0.376, p = 0.001).

Data analyzed using zero - order correlation and hierarchical regression analysis showed positive correlations of POS and job satisfaction with work performance, and also showed independent and joint positive associations of POS and job satisfaction with OCB and each of its four dimensions.

As shown in the results of the Pearson's correlations and the hierarchical regression analysis, social support had a significant negative association with PTSD symptoms, and this finding is consistent with other researches.9 36 51 52 The level of PTSD symptoms was significantly and negatively correlated with the healthcare workers» scores for objective support and utilisation of support.

Hierarchical regression analyses indicated that gender (females were less likely to be employed), IQ (lower IQ associated with unemployment), and transportation dependence accounted for 42 % of the variance in employment.

Independent sample t - test was used to compare the level of self - esteem, family function score and social support score between the two groups with and without grandparenting experience; Pearson correlation was calculated to explore how levels of self - esteem and family functions as well as perceived social support were related; Hierarchical regression analysis was applied to examine the moderating effect of social support on the relationship between family function and self - esteem.

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.

Hierarchical regression analyses were conducted to examine the effect of pc use with a friend, country, hearing status, school setting and age on the online, mixed and offline friendship quality.

Models with dysfunctional emotion regulation as a mediation variable were tested via hierarchical multiple regression analyses and bootstrapping procedure.

Therefore, given that only these four parameters were significantly associated with CU traits and ODD problems (teacher rate), we further conducted four separate multiple hierarchical regression analyses, one for each of these parameters, in order to examine the contributions of CU traits, anxiety, ODD - related problems and their interactions on attentional processing of emotional faces as indexed by these parameters.

A model with cognitive efficiency as a mediator variable was tested using hierarchical multiple regression analysis, with a bootstrapping procedure to examine indirect effects.

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).

To test both questions, hierarchical regression analyses were performed with demographics entered in block one of each model, the mindfulness subscales entered into block two, and one conflict style entered as the criterion variable for each model.

Here, we conducted two hierarchical regression analyses with demographics entered into block one, the four mindfulness subscales entered into block two, and conflict separation and conflict avoidance as the two criterion variables.

Eight significant predictors for psychological distress were retained with hierarchical multivariate linear regression analysis after controlling for gender: seven predictors (Passive Coping, Active Coping and Social Support — UCL), Self - criticism and Dependency (DEQ), Intrusiveness (IES) and Attachment Anxiety (ECR - R) were general psychological characteristics whereas only one infertility - specific characteristics (Need for Parenthood; FPI) had predictive value.

We used hierarchical linear regression analyses to test for program effects on parenting stress, parenting behaviors, mental health, satisfaction with social support, and social support need.

Third, to determine which fine - grained temperament traits were associated with internalizing and externalizing problems, hierarchical multiple regression analyses were performed in SPSS version 19.

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.

To explore main and moderating effects, we conducted a hierarchical regression analysis, to test for linear associations between exposure to bullying behaviors and symptoms of anxiety, as well as the interactive effects of exposure to bullying and the ability to defend, with regard to anxiety.

Hierarchical multiple regression analyses showed that dispositional social evaluative anxiety was uniquely positively associated with boys» and girls» social aggression and negatively associated with boys» overt aggression.

Hierarchical regression analyses revealed that for males, mutual constructive communication was associated with decreases in depressive symptoms, whereas demand - withdraw communication was associated with increases in attachment avoidance and depressive symptoms from T1 to T2.