Sentences with phrase «hierarchical regression»

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

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

We estimated separate hierarchical regression models for men and women, using the person weights of each profile (those of men and women, respectively) as predictors of global marital satisfaction.

Summary of Multiple Hierarchical Regression Analyses Predicting Parental Nurturance 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.

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

The data were aggregated into subscales, and internal reliability measures, descriptive statistics, and two - step hierarchical regressions on each subscale were calculated.

Several hierarchical regressions were used to determine the relationship between children's social and emotional development, during their preschool years and their academic success.

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

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.

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.

All of these variables were entered into hierarchical regression to test whether psychological distress was predicted by parental functioning (in terms of care, overprotection and exposure to parental loyalty conflict behaviors) and by self - esteem.

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.

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.

Multiple Hierarchical Regression showed that state gratitude and institutional gratitude uniquely predict job satisfaction.

Moderation was tested separately for all four family functioning variables by using hierarchical regression with metabolic control as the dependent variable.

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

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.

Hierarchical regression procedures were used to determine interaction effects, that is, whether parental depression, intelligence, or the demographic covariates differed in the relationship with adaptive behavior.

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

Final Model Results for Hierarchical Regression Models Predicting Child MVPA and Screen Time From Parenting Styles and Support for PA

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.

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

Hierarchical regression was used to assess the relationship between cell phone use and cardiorespiratory fitness after controlling for sex, self - efficacy, and percent body fat.

In order to estimate the contribution of student SES (calculated as the percentage of students in a school eligible for free or reduced lunch) to relationships described in the path model between the three teacher variables and student achievement, we computed three hierarchical regressions.

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.

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).

This study employed SPSS 16.0 to analyze the descriptive statistics, correlations, and hierarchical regression.

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 %).

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