generic document models: applications structure information as nested data structures.
restricted document models: sometimes applications want to enforce structural constraints on the nested data structures they use.
Based on nested data in both studies, we found support for our hypotheses.
Aarts, E., Verhage, M., Veenvliet, J. V., Dolan, C. V. & van der Sluis, S. A solution to dependency: using multilevel analysis to accommodate nested data.
Multilevel data analysis examples using R. Topics include: two-level nested data, growth curve modeling, generalized linear models for counts and categorical data, nonlinear models, three-level analyses.
Four space-time models take various forms to accommodate correlated structure in space and time, nested data, and nonstationarity.
The multilevel methods (HLM) we used are appropriate for such analyses and the SACMEQ II nested data design.
The authors examine papers in high profile journals and find that while collection of multiple observations from a single research object is common practice, such nested data are often analyzed using inappropriate statistical techniques.
This work explored gender differences in the psychological adaptation of a sample of Spanish fathers and mothers of individuals with Autism Spectrum Disorder (ASD) using a multilevel modeling approach (MLM) that accounts for nested data.
Comad is a PN-based workflow modeling domain in which actors work on a stream of nested data collections (akin to XML), reading and updating the data stream only at declaratively specified locations (we use XPath-like expression to define actor scopes).
In the case of a well-designed experiment involving two or more factors (crossed or nested), data are usually decomposed into the contributions associated with the studied factors (and with their interactions), and the individual effect matrices are then analyzed using, e.g., PCA, as in the case of ASCA (analysis of variance combined with simultaneous component analysis).
