Sentences with phrase «hierarchical linear»

In Study 1 (rural community), results of hierarchical linear modeling analyses showed that compared to the control condition (Head Start as usual), EBP produced greater increases in emotion knowledge and emotion regulation and greater decreases in children's negative emotion expressions, aggression, anxious / depressed behavior, and negative peer and adult interactions.

A multilevel network approach was used in which peer groups were identified via social network analysis, and peer group influence was evaluated with hierarchical linear modeling (HLM).

Hierarchical linear modeling revealed relatively few single effects for each biomarker with the exception that high HR reactivity predicted concurrent internalizing problems in boys.

Assessing exposure to violence using multiple informants: Application of hierarchical linear model

We examined differences in diary scales (secure, avoidant, resistant, and coherence) as they related to age at placement and foster parent attachment, using hierarchical linear modeling and analyses of variance.

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).

For the multilevel analyses we used the hierarchical linear modeling (HLM) framework and performed our analyses with HLM 7 [39].

Hierarchical linear models in social and behavioral research: Applications and data analysis methods

Our research particularly explored the effect of employees» cultural intelligence on their creative performance and the moderating effects of two types of team conflicts through hierarchical linear modeling.

Using hierarchical linear modeling to investigate the moderating influence of leadership climate

Personality change over 40 years of adulthood: Hierarchical linear modeling analyses of two longitudinal samples

«The application of hierarchical linear modeling to management research,» in Multilevel Theory, Research, and Methods in Organizations: Foundations, Extensions, and New Directions, eds K. J. Klein, and S. W. J. Kozlowski (Hoboken, NJ: Jossey - Bass), 467 — 511.

Results of hierarchical linear modeling analyses confirmed the first two hypotheses and partially supported the third.

Hierarchical linear modeling results revealed that neighborhood disadvantage was related to lower levels of maternal monitoring.

Additional Contribution: Steve Malone, PhD, provided statistical assistance on the hierarchical linear modeling analyses.

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 linear modeling was used to conduct a two - level analysis on 720 students and 24 teachers with valid data on all research variables.

Hierarchical linear regressions were conducted in which each social relationship variable at Wave 2 (parent connectedness and supportive friendships) was regressed on its Wave 1 levels, age, gender, race, and Wave 1 sexual risk in the first step.

Hierarchical linear model analyses revealed that, at the individual level, Mexican - American adolescents» who reported more chronic peer victimization incidents across the two - weeks also reported heightened distress and academic problems.

Results using hierarchical linear modeling show that a negative inferential style interacted with negative events to predict prospective symptoms of general and anhedonic depression specifically but not anxious arousal, general internalizing or externalizing symptoms.

To further explore these associations, a series of hierarchical linear regression were run (presented in Table 5), examining whether daily problems and coping efficacy predicted each of the 5 average mood states.

As seen in Step 2 of the hierarchical linear regression predicting crying proneness from destructive overdependence, family and friend support, and their interactions (Table 2), being female, in a relationship, and highly stressed predicted a greater tendency to cry.

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.

HLM: Hierarchical linear modeling with the HLM / 2L and HLM / 3L programs.

A series of hierarchical linear regressions, controlling for gender, commuting status, romantic relationship status, stress, loneliness, and depressive symptoms, partially supported our hypotheses.

Data Analysis: Hierarchical linear modeling (HLM) was used to examine models with variables both on the student and the school levels.

Application of hierarchical linear models to assessing change.

The hypothesis that nation attachment would account for variance in acculturation over and above the other predictor variables was examined with a hierarchical linear model (HLM), where participants (Level 1) were nested in their country of origin (Level 2).

Hierarchical linear models for social and behavioral research: Applications and data analysis methods

Hierarchical linear modeling was used to examine relational aggression over 1 calendar year.

We reconstructed the hierarchical linear model from Study 1 to investigate the association of nation attachment with heritage culture identification when controlling for confounding variables, with individuals nested in their reported nationality groups.

The unstandardized coefficients and standard errors entered into the Sobel test were derived from hierarchical linear models.

Hierarchical linear models testing the association of nation attachment with heritage culture identification after including the control variables was partially replicated in this study; the lack of an association between dismissive nation attachment and heritage identification is attributed to a lower proportion of migrant participants.

In order to assess the replicability of results from Study 1, the indirect effect of secure - preoccupied nation attachment on SWB through heritage identification was tested with a Sobel test; all values entered to the test were derived from hierarchical linear models.

SWB was investigated further through hierarchical linear modelling.

Hierarchical linear modelling was employed to control for differing cultures across participants.

Hierarchical linear modeling analyses of the NEO-PI-R scales in the Baltimore Longitudinal Study of Aging

[jounal] Raudenbush, S.W / 1998 / Application of a hierarchical linear model to the study of adolescent deviance in an overlapping cohort design.

For data analysis hierarchical linear modeling (HLM) was applied.

Hierarchical linear modeling was used to address the research questions.

Results of hierarchical linear modeling indicated that statistically significant but substantively minor changes in SOC scores existed across the three grades; these findings support the use of the Grade 5 SOC scores as predictors of subsequent development.

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).

Multivariate hypothesis testing was conducted in the hierarchical linear modeling (HLM) context to examine differences in patient and spouse initial status and rates of change over time on self - reported depressive symptomatology.

A two - level hierarchical linear model consisting of repeated observations within individuals and individuals assigned to conditions was used to evaluate the effects of time from baseline to post-intervention comparing the three conditions and from post-intervention to eight - month follow - up for both intervention conditions.

Hierarchical linear modeling39 was used to examine intervention group differences in cortisol levels at waking and bedtime as well as in slope cortisol levels across the day, following analytic procedures used previously.5 Hierarchical linear modeling accounts for the nonindependence of repeated measures by modeling multiple data points as nested within individuals, which further allows for missing data.

In hierarchical linear modelling analyses, the intervention was more effective than no intervention for reducing peer reports of aggression (p = 0.03) and hyperactive and disruptive behaviour (p = 0.02)(table ⇓); no difference was seen for peer reports of prosocial behaviour or ratings of most liked children.

The author performed hierarchical linear regressions to examine the relationships between attachment dimensions (Security and Anxiety) and the provision of instrumental and emotional care.

We test our hypothesis about the effects of human and social capital on student achievement using social network analysis and hierarchical linear modeling.

Using data from the 2003 — 2004 Schools and Staffing Survey, this article compares teacher working conditions in charter schools and traditional public schools through propensity score matching and weighted hierarchical linear modeling.

The researchers used hierarchical linear regression to predict the relation between pain and alcohol - seeking cognitions.