Summary of
hierarchical regression analyses testing peer - and teacher - reported popularity among boys as a mediator of the link between pubertal timing and rumors
Not exact matches
Hierarchical multiple linear
regression analyses were conducted to
test whether the income - to - needs ratio predicted brain volumes.
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).
Descriptive statistics,
hierarchical regression analyses, Pearson's correlation, and the t -
test were conducted.
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.
She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation modeling, confirmatory factor
analysis and MIMIC approaches to measurement, path modeling,
regression analysis (e.g., linear, logistic, Poisson), latent class
analysis,
hierarchical linear models (including growth curve modeling), latent transition
analysis, mixture modeling, item response theory, as well as more commonly used techniques drawing from classical
test theory (e.g., reliability
analysis through Cronbach's alpha, exploratory factor
analysis, uni - and multivariate
regression, correlation, ANOVA, etc).
Models with dysfunctional emotion regulation as a mediation variable were
tested via
hierarchical multiple
regression analyses and bootstrapping procedure.
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.
A model with cognitive efficiency as a mediator variable was
tested using
hierarchical multiple
regression analysis, with a bootstrapping procedure to examine indirect effects.
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.
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.
Finally, we used
hierarchical regression analyses to
test the proposed mediation model (Baron and Kenny 1986).
Hierarchical regression analysis and the Sobel
test revealed that interpersonal problems partially mediated adult ADHD and internet addiction.
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.
Hierarchical regression analyses were used to
test this study's ecological and transactional hypothesis.
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.
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.
At a preliminary stage, before
testing hypotheses with
Hierarchical Regression Analyses, Confirmatory Factor
Analyses (CFAs) as implemented by AMOS [50].