Influential factors of school bullying among junior high school students: an analysis based on hierarchical linear models [PDF]
Frontiers in PsychologyIntroductionExploring the factors and internal mechanisms influencing school bullying among junior high school students is crucial for preventing and controlling its occurrence.
Yingying Wang +6 more
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Hierarchical Generalized Linear Models: The R Package HGLMMM [PDF]
Journal of Statistical Software, 2011 The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Marek Molas, Emmanuel Lesaffre
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Enhancing insight into regional differences: hierarchical linear models in multiregional clinical trials [PDF]
BMC Medical Research MethodologyBackground The planning and analysis of multi-regional clinical trials (MRCTs) has increased in the pharmaceutical industry to facilitate global research and development.
Jeewuan Kim, Seung-Ho Kang
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Albatross analytics a hands-on into practice: statistical and data science application
Journal of Big Data, 2022 Albatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model ...
Rezzy Eko Caraka +7 more
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Shrinkage estimates for multi-level heteroscedastic hierarchical normal linear models [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 Empirical Bayes approach is an attractive method for estimating hyperparameters in hierarchical models. But, under the assumption of normality for a multi-level heteroscedastic hierarchical model, which involves several explanatory variables, the analyst
S.K. Ghoreishi, A. Mostafavinia
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Bayesian analysis of hierarchical heteroscedastic linear models using Dirichlet-Laplace priors [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 From practical point of view, in a two-level hierarchical model, the variance of second-level usually has a tendency to change through sub-populations.
S. K. Ghoreishi
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Math and science outcomes for students of teachers from standard and alternative pathways in Texas
Education Policy Analysis Archives, 2020 Texas provides a unique opportunity to examine teachers without standard university preparation, for it prepares more teachers through alternative pathways than any other state.
Michael Marder +2 more
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New Metrics for Assessing the State Performance in Combating the COVID‐19 Pandemic
GeoHealth, 2021 Previous research has noted that many factors greatly influence the spread of COVID‐19. Contrary to explicit factors that are measurable, such as population density, number of medical staff, and the daily test rate, many factors are not directly ...
Yun Li +7 more
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Examining Non-cognitive Factors Predicting Reading Achievement in Turkey: Evidence from PISA 2018
International Journal of Contemporary Educational Research, 2022 The purpose of the study was to investigate how student and teacher-related non-cognitive variables were important factors on the reading performances of Turkish students in PISA 2018.
Pınar KARAMAN
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Hyperextended Cosmological Perturbation Theory: Predicting Non-linear Clustering Amplitudes [PDF]
, 1998 We consider the long-standing problem of predicting the hierarchical clustering amplitudes $S_p$ in the strongly non-linear regime of gravitational evolution.
Balian R. +16 more
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