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.
RESULTS: The
hierarchical regression model for job stress explained 26.8 % of... the variance among those
with a low monthly income (β = − 0.151, p = 0.021), an irregular diet (β = 0.165, p = 0.014), and high daily work hours (β = 0.380, p = 0.000), showing that these respondents were more likely to report high job stress levels.
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 ot
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 othe
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 ot
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 othe
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 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.
To test our hypothesis that DO would moderate the association between social support and crying proneness, we followed generally established procedures (Aiken & West, 1991) and conducted two
hierarchical linear
regressions (one for family and friend support, the other for the social provisions variable)
with crying proneness as the outcome variable.
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.
Moderation was tested separately for all four family functioning variables by using
hierarchical regression with metabolic control as the dependent variable.
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,
hierarchical multiple
regressions were conducted to examine whether (1) relationship quality variables were associated
with outcomes independently of sociodemographic characteristics, and (2) ethnicity moderated relations of parental acceptance or conflict
with diabetes management and depressive symptoms.
Because they presented bimodal distributions, the hospitalization and injury outcomes variables were analyzed as dichotomous variables
with logistic
regressions using the same
hierarchical model design.
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.
Hierarchical regression showed that pro-social behavior was not a significant predictor of aggressive behavior when CU traits were not controlled, while CU traits predict aggressive behavior
with or without pro-sociality.
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.
In the
hierarchical regression for predicting T2 Conduct Problems, for example, T1 Conduct Problems was entered together
with T1 Direct Aggression as independent variables at step 2, and the PANIBI measures of Direct Aggression was found to contribute to the prediction of T2 Conduct Problems even when T1 Conduct Problems was controlled for (see Table 8); this result can only be due to the non-overlapping parts of these measures.
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.