Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"multilevel data"”.
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Testing Measurement Invariance in Multilevel Data with Unequal Cross-Level Factor Structures
… & Kuljanin, 2008). With the prevalence of multilevel data in educational research (e.g., students nested within schools), establishing MI across multiple groups or waves of nested data has brought increasing attention. Two popular techniques for the test of multilevel MI include the …
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Impact of Not Fully Addressing Cross-Classified Multilevel Structure in Testing Measurement Invariance and Conducting Multilevel Mixture Modeling within Structural Equation Modeling Framework
… 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 statistical software with cross-classified model, most substantive researchers adopt then …
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The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models
Missing data often present problems for credible statistical analyses. Luckily there are valid methods for dealing with missing data but the context in which the data are missing can impact the performance of these methods. Relatively little is known about the proper way to handle missing data in …
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Conjugate generalized linear mixed models with applications
… modelling framework for longitudinal and multilevel data where the likelihood can be expressed in closed-form. We focus on the scenario where the random effects are mapped uniquely onto the grouping structure and are independent between groups. Compared with conventional inference methods …
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Maybe less is more : congregation size and social embeddedness in the age of the megachurch.
… congregation size and social embeddedness. Using multilevel data from the 2001 U.S. Congregational Life Survey (USCLS), I analyze the relationship between weekly church attendance and congregational belonging and friendship, and how these relationships vary across religious traditions. Results …
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Metodi numerici per lo studio di centri di lavoro ad alta velocità
… that permit a dynamic optimization, are shown. A multilevel Data Base, and an operator interface module provide to complete the designing platform. The proposed approach represents a significant step toward the virtual machining for the prediction of the quality of the worked surface.
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Inference in linear panel data models with serial correlation and an essay on the impact of 401 (k) participation on the wealth distribution
… inference issues in serially correlated multilevel and panel data and presents a separate essay that examines the impact of 401(k) participation on wealth. The first chapter examines generalized least squares (GLS) estimation in data with a grouped structure where the groups may be …
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Linkage Based Dirichlet Processes
We live in the era of textit{Big Data} with significantly richer computational resources than the last two decades. The concurrence of computation resources and a large volume of data has boosted researchers' desire for developing feasible Markov Chain Monte Carlo (MCMC) algorithms for large …
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Time zone effects : the impact of human resource practices and cultural intelligence on global team outcomes
… conceptualized model is tested using matched multilevel data collected from global team employees and their supervisors. The results highlight the role of time zone difference and cultural intelligence on global team and employee outcomes. While cultural intelligence has a greater impact on …
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Modeling Mortality of Loblolly Pine Plantations
… mortality models were developed using multilevel logistic regression and survival analysis techniques. Multilevel data structure inherent in permanent sample plots data i.e. measurement occasions nested within trees (e.g., repeated measurements) and trees nested within plots, is often …
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Impact of Ignoring Nested Data Structures on Ability Estimation
… that intentional or unintentional clustering of data elements typically results in the inflation of the estimated standard error of fixed parameter estimates. This study is unique in that it examines the impact of multilevel data structures on subject ability which are random effect predictions …
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Multilevel Latent Markov Models for Nested Longitudinal Discrete Data
Multilevel longitudinal data are clustered both structurally and temporally. The hierarchically nested structure induces between-subject dependency because individuals in the same unit may share something in common. The longitudinal aspect of data induces within-subject dependency because …
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Essays on Propensity Score Methods for Causal Inference in Observational Studies
… commonly-used propensity score methods when the data have a multilevel structure, including matching, weighting, stratification, and methods that combine these with regression. The usage of these methods is illustrated using a data set about endoscopic vein-graft harvesting in coronary artery …
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Joint Gaussian Graphical Model for multi-class and multi-level data
… among variables. Furthermore, there may exist multilevel structure among variables; some variables are considered as higher level variables and others are nested in these higher level variables, which are called lower level variables. In this dissertation, we made several contributions to the …