Sentences with phrase «multilevel models»
Multilevel models refer to a statistical tool used to analyze data that has nested or hierarchical structure. It helps to understand how factors at different levels, like individuals within groups or students within schools, influence each other. It allows for more accurate and detailed analysis, considering both individual and group-level effects simultaneously. Full definition
Sociodemographic characteristics of the neighborhood and depressive symptoms in older adults: using multilevel modeling in geriatric psychiatry
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As for the tree - ring analysis, I'm learning more about this now — we're just at the beginning of a three - year NSF - funded project — but, so far, it seems like one of those statistical problems that's easy to state but hard to solve, involving a sort of multilevel modeling of splines that's never been done before.
The standard multilevel modeling approach can properly estimate parameters and standard errors for clustered data that have resulted from equal probability sampling [2].
Measuring Progress towards a Goal: Estimating Teacher Productivity using a Multivariate Multilevel Model for Value - Added Analysis
Multilevel model estimates with and without the baseline as a control suggested that CfC had a positive effect on involvement in community service activity and reduced the rate of household joblessness for households with low education mothers.
Multilevel models revealed significant effects on an on - demand writing assessment (d =.35) and the California Standards Test in English Language Arts (d =.07).
Statistical analysis strategies often included multilevel models.
We explored this issue further by estimating additional multilevel models examining the difference between G1 and G2 reports (G1 − G2) as predictors of target (G2) reports and offspring (G3) reports.
Singer, J. D. Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models.Journal of Educational and Behavioral Statistics, 24 (4), 322 - 354., (1998)
«Estimating teacher productivity using a multivariate multilevel model for value - added analysis.»
comorbidities [2], it is not surprising that they are at high Results Multilevel modeling of data from 158 couples risk for experiencing psychological
The goal of the present study is to demonstrate the ways in which multilevel models can be applied to family research.
All analyses were performed with SPSS version 17.0, except multilevel analyses of effects on binary outcome measures, which were analyzed with MLwiN (Multilevel Models Project, 1998).
Finally, the estimates from both sets of multilevel models suggest that CfC had the effect of reducing the number of jobless households for those in low - income and not low - income households.
Three - level multilevel models (MLM) accounts for within - family dependence by incorporating a unique random effect for each family and adult child, and this variability in random effects is taken into account when estimating SEs.
A comparison between multilevel models demonstrated that sleep was a better predictor of physical activity than morning ratings of pain intensity or mood.
This paper attempts to evaluate these factors using multilevel modeling methods where the traits of individual research group participants (e.g. gender, ethnicity, discipline area) are modeled within group - level factors (e.g. number of meetings, group size, group composition) as determinants of Working Group - related journal article production.
However, we still used multilevel models because they account for dependency between observations, and produce unbiased standard errors and more stable intercept and slope estimates (Myers 2011).
All statistical analyses were conducted using SAS software V. 9.4, estimating the logistic multilevel models with the GLIMMIX procedure.
We estimated two multilevel models assessing differences in positive quality and negative quality.
Building on these ideas, we used rich data on selection into and out of neighborhoods to formulate a cross-classified multilevel model designed to estimate causal effects when contextual treatments, outcomes, and confounders all potentially vary over time (32, 33, 48).
Although some research has begun to collect and analyze data at the level of the dyad (Lyons et al., 2007; Pruchno, Wilson - Genderson, & Cartwright, 2008; Wilson - Genderson, Pruchno, & Cartwright, 2008), there remains much to be learned, yet it is clear that advances made regarding multilevel modeling strengthen our ability to conduct such research.
The authors gratefully acknowledge Robert Brennan and David Kenny for input on the application of the dyadic longitudinal multilevel models.
Multilevel models properly take into account this non-independence and adjust standard errors appropriately (Raudenbush & Bryk, 2002).
Analysis of affective instability in ecological momentary assessment: indices using successive difference and group comparison via multilevel modeling.
We employed structural equation modeling and supplementary multilevel modeling, finding consistent evidence that the association between delinquency and the parent — child relationship is at least partially shared environmental in origin.
Marginal mean Strengths and Difficulties Questionnaire Hyperactivity values (95 % CI) for multilevel model exploring association between financial difficulty change and ADHD symptoms.
Multilevel modeling indicated carrying a depressive mood diagnosis predicted less disruptive behavior progress compared to youth with only externalizing diagnoses.
The previously described multilevel models were used to test our hypothesis that daily received instrumental and emotional support would predict more daily positive mood and less daily negative mood, and that the number of support services received would predict lower levels of daily negative mood.
Furthermore, multilevel modeling enables the influence of person - specific factors on outcome variables to be statistically controlled (DeLucia & Pitts, 2006).
Parameter estimates and t - values for multilevel models of treatment outcome predicted by measurement occasion
Multilevel models revealed that positive relationship quality varied among family members (F (5, 1592) = 16.66, p <.01; Table 2).
The Impact of School Climate and School Identification on Academic Achievement: Multilevel Modeling with Student and Teacher Data
Ms. Bai is a dual - title Ph.D. candidate in Educational Theory & Policy and Comparative International Education at the Pennsylvania State University specializing in a variety of statistical methods, including multilevel modeling, structural equation modeling, and propensity score matching.