Sentences with phrase «hierarchical regression analysis for»

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

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.

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

Not exact matches

Hierarchical multiple regression analyses were used to adjust for the four confounding factors shown in Table 1.

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.

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.

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.

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).

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 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.

Prior to conducting the main analysis of hierarchical regression, the data were checked for outliers that might show undue influence in some analyses.

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.

Drawing on three waves of data collected from an ethnically diverse sample of middle school girls (n = 912), hierarchical multiple regression analyses revealed that more advanced development at the start of middle school predicted peer - and teacher - reported popularity as well as increased risk of being targeted for rumors.

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.

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.

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 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).

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

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.

Hierarchical multiple regression analyses were calculated to evaluate the predictive power of the WoC factors for marital satisfaction factors.

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.

Preliminary analyses were conducted to test for relations between demographic variables and study variables (HbA1c, adherence, and family functioning) for purposes of control in subsequent hierarchical multiple regression.

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 multiple regressions were used for the main 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.

Third, to evaluate the moderating role of war - related trauma on the association between attachment and mental health symptoms, we conducted three separate hierarchical binomial logistic regression analyses for each outcome.

The prediction of children's teacher - rated social skills at 8 y of age from their attachment security at 42 mo of age and the moderating influence of EEG activity was examined for the institutionalized groups (CAUG and FCG) using hierarchical linear regression analysis (see SI Text for further details).

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.