Sentences with phrase «hierarchical regression analysis»

Results of hierarchical regression analyses revealed that several of the dimensions of peer relations significantly predicted adjustment outcomes.

As hierarchical regression analyses revealed, job satisfaction, SSQ and WOC factors can explain between 24 % and 38 % of the variance in six of the eight ENRICH factors.

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.

Summary of hierarchical regression analysis for predictors and interaction of adaptive behavior (N = 45)

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

Summary of hierarchical regression analyses predicting peer - nominated and teacher - reported popularity among boys and girls in the fall and spring of 6th grade

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

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.

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

To test whether trait mindfulness would positively predict romantic partners» relational satisfaction and commitment levels two separate hierarchical regression analyses were performed.

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

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.

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.

RESULTS: Results based on hierarchical regression analysis showed that high CSE significantly weakened the negative relationship between detachment and depressive symptoms in this sample.

As a result of hierarchical regression analysis consistent with the expectations, having secure attachment style and high self - confidence on possessed problem - solving abilities were found to be associated with the relationship satisfaction.

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

Given the time sequenced nature of this data, evaluating the change in relationship satisfaction over time, it is only logical that we apply hierarchical regression analysis to elicit direct effects.

Next, a 4 - step hierarchical regression analyses was used to test mediation [36] adjusting for adolescent BMI at study entry (age 15) to examine the contributions of adolescent PA as a mediator of the association between perceived parental encouragement for PA and adolescent body image satisfaction for the total sample.

To evaluate the possible interactive effects of the biomedical factors and SES, we conducted a series of nested hierarchical regression analyses — one for each of the individual measures of EF.

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

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

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.

Mediation Model using Hierarchical Regression Analyses to Predict Adolescents» Body Satisfaction at age 16 with Fathers» Encouragement for Physical Activity and Adolescents» Leisure - time Physical Activity, Adjusting for Adolescents» Body Mass Index at age 15

In addition, hierarchical regression analyses indicated that higher debilitating anxiety and lower facilitating anxiety were a joint function of high self - oriented perfectionism and low personal control.

In order to investigate how the resilience factors of parental and school support protect adolescents exposed to peer - victimization against developing mental health problems, two separate hierarchical regression analyses were performed with z - standardized variables.

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

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

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.

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.

Summary of hierarchical regression analysis for predictors of adaptive behavior in Leiter group (N = 23)

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.

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

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).

In hierarchical regression analysis, the final models consisting of standard clinical measures and demographic and system variables (eg, repeated admissions) were associated with substantial ACE total score variance for females (44 %) and males (38 %).

Hierarchical regression analyses of age, gender, SES and ECD predicting cognitive skills.

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