as well as some recent developments in multilevel modeling. Students will have hands-on experience performing analyses using their own data or data the instructor provides. CRIM.6900 Advanced ...

We use a procedure called multilevel regression and post-stratification ... We worked on this model in collaboration with Professors Ben Lauderdale, Jack Blumenau, and Doug Rivers, as well ...

A common approach for APC analysis is multilevel modeling. A multilevel model is a kind of regression model that can be fit to data that is structured in “groups,” which themselves can be units of ...

Thus, models can now be fitted to data with extremely complex structures. Multivariate regression and multivariate analysis of variance can be conducted in a particularly flexible manner using a ...

Because many common DIF detection methods ignore potential DIF variance, this paper proposes the use of random coefficient hierarchical logistic regression (RC-HLR) models to test for both uniform DIF ...

We cover various issues related to research design, model building, and the interpretation of the output from SPSS, R, Lisrel, and SAS software programs. This course introduces students to multilevel ...

Associations were determined using a multilevel regression model. Results The coverage in patients aged ≥ 65 years was 56.3% and was higher (57.3%) in patients whose physician had been ...