Sentence examples for use of a multilevel from inspiring English sources

The use of a multilevel model enabled us to further account for unexplained variation and clustering across hospital trust sites.

Our use of a multilevel evaluation framework enabled us to discern patterns we might have missed had we evaluated PD using only conventional, survey-based methods.

For that reason, we made use of a multilevel analysis which provides the opportunity to simultaneously analyse different data levels and which also considers an autoregressive structure of covariance of the time series data (Nezlek 2007; Heck et al. 2010).

The use of a multilevel modelling technique would account for the hierarchical structure of the data, adjusting for estimated coefficients and other cluster-level sources of unobserved heterogeneity (variance) that may be associated with attitudes or perceptions towards justification of wife-beating or of domestic violence.

We also particularly wanted to compare the strength of this relationship between good and poor readers directly by testing, through use of a multilevel logit regression model, the extent to which these variables predicted the likelihood of the students in the sample being good or poor readers.

Results were consistent with clustering at the clinic level, supporting the use of a multilevel model.

The musical staging and choreography by Antwayn Hopper and Natasha Soto-Albors also make excellent use of a resourceful multilevel set by Ken Rothchild.

This study makes use of a cross-sectional multilevel design with data collected at the hospital, nursing unit, individual nurse and patient level via four different data sources.

The other was established by Ayala et al. by using the framework of a multilevel architecture [Ayala, 2003].

Nevertheless, this has been the first attempt of using a multilevel approach to validate dietary intake in an international context, and an important understanding of between-center variation in nutrient intake bias as well as factors that can influence the performance of the method has been achieved.

A comprehensive set of supply and demand predictors are used in a multilevel model of county-level cancer screening utilization in the context of state regulatory markets.