Hierarchical Linear Models: Applications and Data Analysis Methods.

Bryk, Anthony S.; Raudenbush, Stephen W.

doi:10.2307/2290750

Cited by 896 publications

(1,319 citation statements)

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“…Currently, regression analyses are the accepted means of analyzing correspondence between two reporters, with individual difference factors included as moderating variables (Goldstein, Bryk, & Raudenbush, 1993). This method enables researchers to examine the correlation between raters’ assessments and then to examine how individual difference factors moderate that correlation.…”

Section: Methodsmentioning

confidence: 99%

Attachment and maternal sensitivity in middle childhood

Borelli

Vazquez

Rasmussen

et al. 2016

Journal of Social and Personal Relationships

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According to theory, maternal sensitivity should be associated with attachment security in middle childhood. We measure two aspects of maternal sensitivity— affective understanding, a component of parental mentalization, and affective synchrony, a component of parental empathy. We tested our hypotheses within a diverse sample of school-aged children (48.6% female, Mage = 10.27, SDage = 1.09) and their mothers ( N = 112 dyads) at baseline and after a standardized laboratory-based stressor in which children worked on unsolvable puzzles while their mothers watched. Results revealed no significant associations at baseline, but lower maternal attachment avoidance and greater child attachment security were associated with greater affective understanding and greater affective synchrony after the stressor task.

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Section: Methodsmentioning

confidence: 99%

Attachment and maternal sensitivity in middle childhood

Borelli

Vazquez

Rasmussen

et al. 2016

Journal of Social and Personal Relationships

View full text Add to dashboard Cite

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“…This approach is a more stable and efficient technique for estimation and findings are more easily interpretable. Residual variation can be partitioned into both within‐ and between‐group variation and the “added value” of examining interactions between aspects of status can be evaluated beyond simply main effect contributions (Goldstein et al, 1993; Green et al, 2017). Attending to heterogeneity both within and between social categories also adds specificity and detail on validity (Wemrell et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Mapping mental health inequalities: The intersecting effects of gender, race, class, and ethnicity on ADHD diagnosis

Bergey

Chiri

Freeman

et al. 2022

Sociology Health & Illness

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While the effects of social stratification by gender, race, class, and ethnicity on health inequalities are welldocumented, our understanding of the intersecting consequences of these social dimensions on diagnosis remains limited. This is particularly the case in studies of mental health, where "paradoxical" patterns of stratification have been identified. Using a Bayesian multi-level random-effects Poisson model and a nationally representative random sample of 138,009 households from the National Survey of Children's Health, this study updates and extends the literature on mental health inequalities through an intersectional investigation of one of the most commonly diagnosed psychiatric conditions of childhood/adolescence: attention-deficit hyperactivity disorder (ADHD). Findings indicate that gender, race, class, and ethnicity combine in mutually constitutive ways to explain between-group variation in ADHD diagnosis. Observed effects underscore the importance and feasibility of an intersectional, multi-level modelling approach and data mapping technique to advance our understanding of social subgroups more/less likely to be diagnosed with mental health conditions.

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“…MLM techniques were implemented with HLM 7 software (Bryk & Raudenbush, 1987; Goldstein et al, 2006) using restricted maximum likelihood estimation such that repeated daily measures were nested within participants. Given that the outcome variable was binomial (1 = consumed alcohol that day , 0 = did not consume alcohol ), a Bernoulli distribution was used.…”

Section: Methodsmentioning

confidence: 99%

The dark side of helping behaviors: Partner support increases daily alcohol use in outpatients with a history of alcohol dependence

Calkins

Brock

2020

Journal of Social and Personal Relationships

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The primary goal of the present study was to systematically investigate the role of intimate partner support in alcohol use and to examine whether partner support serves a maladaptive function among individuals with a history of alcohol dependence. This goal was pursued in a sample of low-income outpatients because of increased risk for chronic stress and alcohol use disorders among this population. We implemented a comprehensive, multi-method assessment of partner support and ecological momentary assessments of alcohol use over 14 consecutive days. Results demonstrate the potential “dark side” of helping behaviors that has been proposed in recent literature. Specifically, in a sample of low-income outpatients, we found that receiving more frequent and higher quality support from one’s partner put individuals meeting criteria for alcohol dependence at greater risk for consuming alcohol. Findings converge with research suggesting that helping behaviors might function to enable maladaptive coping mechanisms in the context of alcohol use disorders.

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Hierarchical Linear Models: Applications and Data Analysis Methods.

Cited by 896 publications

References 0 publications

Attachment and maternal sensitivity in middle childhood

Attachment and maternal sensitivity in middle childhood

Mapping mental health inequalities: The intersecting effects of gender, race, class, and ethnicity on ADHD diagnosis

The dark side of helping behaviors: Partner support increases daily alcohol use in outpatients with a history of alcohol dependence

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