Sentences with phrase «hierarchical regression analyses»

Hierarchical regression analyses indicated that family routine moderated child HI.

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.

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

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.

Summary of Multiple Hierarchical Regression Analyses Predicting Parent Satisfaction at 6 Months

Summary of hierarchical regression analyses for children's birth status and children's sustained selective attention performance predicting children's problem behavior, as reported by mothers and teachers

Multiple hierarchical regression analyses showed that a higher level of QOL was predicted by higher levels of psychological flexibility and social connectedness, while controlling for symptom severity.

Hierarchical regression analyses were used to test this study's ecological and transactional hypothesis.

Pearson correlations were used to examine the association among the study variables and hierarchical regression analyses were used to predict body satisfaction at age 16.

In total, four stepwise hierarchical regressions were performed: one predicting school absences and separate hierarchical regression analyses for each factor of the SASC - R because results of a multivariate hierarchical regression analysis were significant, Wilk's lambda, F (3, 62) = 6.24, p <.01.

Hierarchical regression analyses predicting global math performance, measured three months later, over and above French performance and previous math performance, by the CERS - M.

The hierarchical regression analyses done in the second part of the study indicated that age, gender, and individuation dimensions are important predictors of romantic attachment dimensions.

Finally, we used hierarchical regression analyses to test the proposed mediation model (Baron and Kenny 1986).

Summary of Multiple Hierarchical Regression Analyses Predicting Parental Nurturance at 6 Months

Hierarchical regression analyses predicting anxiety and problem - solving performance by the CERS - M.

A series of hierarchical regression analyses were performed to test whether the influence of early infant behavioral characteristics on later parenting stress and temperament ratings would vary depending on factors in the infant — parent dyad.

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.

By using... hierarchical regression analyses potential moderating influences of self - reported trait - mindfulness and trait values of general psychological stress reactivity on stress protective effects of a three months Taiji training were examined.

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.

We chose to utilize hierarchical regression analyses which allowed us to control for potential demographic influences on results.

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).

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.

In order to test the potential moderator effect between negative affectivity and effortful control on ODD - related problems, we conducted two separate multiple hierarchical regression analyses, one for the parental and the other for the teacher rate of ODD - related problems.

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.

Hierarchical regression analyses were used to examine relations between contingent responsiveness and child compliance, after accounting for the quality of parent directives and parent negativity.

Hierarchical regression analyses were conducted to examine the effects of friendship quality on the adolescents» well - being as a function of country and hearing status.

Summary of hierarchical regression analyses predicting rumors in the fall and spring of 6th grade

Table 6 gives the results of the significant hierarchical regression analyses.

Summary of hierarchical regression analyses testing peer - and teacher - reported popularity among boys as a mediator of the link between pubertal timing and rumors

Means and Standard Deviations of General Liking and Romantic Attraction as a Function of Availability, Commitment, and Sociosexuality Predicting the Target s General Likability: Hierarchical Regression Analyses Predicting Romantic Attraction toward a Target: Hierarchical Regression Analyses.

Keywords: Supervisor support, supportive work atmosphere, job demands, job control, job content, self - esteem, mistrust, multiple hierarchical regression analyses

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.

Descriptive statistics, hierarchical regression analyses, Pearson's correlation, and the t - test were conducted.

Final results of hierarchical regression analyses for time to complete and number of excess moves on Tower of London task.

Hierarchical regression analyses using the «Enter» procedure were therefore computed.

RESULTS: Hierarchical regression analyses revealed that long - term success (at least 5 % weight reduction by the 1 - year follow - up) versus failure (dropping out or less weight reduction) was significantly predicted by the set of psychosocial variables (family adversity, maternal depression, and attachment insecurity) when we controlled for familial obesity, preintervention overweight, age, and gender of the index child and parental educational level.

Hierarchical regression analyses were computed to determine the impact of predictor variables — age, gender, SES and ECE attendance.

Table 2 presents the results of the hierarchical regression analyses.

The hierarchical regression analysis showed a significant association between greater resilience and lower psychological distress in step 2.

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.

Result of hierarchical regression analysis (dependent variable: process innovation performance).

Specifically, hierarchical regression analysis performed showed significant associations between ECE and letter naming, fine motor skills, expressive language, and problem solving.

In hierarchical regression analysis of SA, social support was present in models 2 and 3, but disappeared after adjusting for substance use and depressive symptoms in model 4 (table 3).

Methods: Main - and mediation effects were investigated using hierarchical regression analysis.

The results of Pearson correlation analysis and hierarchical regression analysis revealed a statistically significant rela - tionship between job and life satisfaction, even after controlling for demographic and socioeconomic variables.

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.

The results of the hierarchical regression analysis are presented in table 5.

Hierarchical regression analysis predicting self - esteem from family function and social support.