Browsing by Subject "Multilevel Modeling"
Now showing items 1-6 of 6
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(2014-07-25)In educational settings, researchers are likely to encounter multilevel data without strictly nested or hierarchical but cross-classified multilevel structure. However, due to the lack of familiarity and limitations of ...
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(2023-05-24)Count outcomes are frequently encountered in single-case experimental designs (SCEDs). Previous studies have shown that generalized linear mixed models (GLMMs) are a promising method to deal with overdispersed count data. ...
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(2023-05-24)Count outcomes are frequently encountered in single-case experimental designs (SCEDs). Previous studies have shown that generalized linear mixed models (GLMMs) are a promising method to deal with overdispersed count data. ...
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(2020-10-26)Propensity score methods (PSM) has become one of the most advanced and popular strategies for casual analysis in observational studies. However, there are substantial challenges that PSM face, such as biased estimation ...
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Standardized Mean Differences for Complex Multilevel Models: Parametric and Nonparametric Estimation (2015-06-02)This dissertation comprises three separate but interrelated manuscripts exploring methods for estimating the standardized mean difference effect size with several complex multilevel data structures. Multilevel modeling ...
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(2011-02-22)Two Monte Carlo studies were conducted to investigate the sensitivity of fit indices in detecting model misspecification in multilevel structural equation models (MSEM) with normally distributed or dichotomous outcome ...