Sentence examples for multilevel model and from inspiring English sources

I employ a multilevel model and a propensity score matching to identify union effects in states with different legal environments for collective bargaining of teachers.

We show the results for the multilevel model and those for the single level model, for comparison purposes.

Two fairly recent papers examining late-stage BC diagnosis in California used the random intercepts multilevel model and found similarly small variance components [25, 8].

Getzen (2000) attempted to resolve the debate on relationship between income and health expenditure by estimating income-elasticity using nested multilevel model and found that healthcare was a luxury at country-level and necessity at individual-level [19].

In this analysis, the graphical comparison of variance components from the multilevel model (and the tests performed in the mixed-effects model analysis) support all of the conventional ANOVA tests except the one for the species composition main effect, questioning the assignment of the error term in this case.

Multilevel model and multiple regression models were used to assess influencing factors on dependent variables.

Preacher, K. J., Curran, P. J. & Bauer, D. J. Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis.

The third reports and discusses the findings of the multilevel models and what these suggest about relationships between descriptive representation in national parliaments and patterns in civic engagement among citizens.

This hands-on, intermediate R course will demonstrate a variety of statistical procedures using the open-source statistical software program, R. Topics covered include multiple regression, multilevel models, and multiple imputation.

In the present work, a generic method for multilevel modeling and reconfiguration of the System of Systems Engineering (SoSE) is proposed based on the bond graph modeling approach.

Growth models (also known as linear mixed effects models, multilevel models, and random coefficients models) have the capability of studying change at the group as well as the individual level.