Sentence examples for using hierarchical linear and from inspiring English sources
Hierarchical multilevel regression analysis using Hierarchical Linear and Nonlinear Modeling HLM.6 software (Raudenbush et al. 2004), was employed to explore the relationship between the frequency of using a set of instructional variables and the average score of schools in mathematics and science.
Data were analyzed using hierarchical linear and nonlinear (multilevel) models.
The associations were evaluated using hierarchical linear and logistic regression models.
The association between guideline adherence and health outcomes was analysed using hierarchical linear and logistic regression models.
Multilevel modelling using Hierarchical Linear and Non-linear Modelling software was conducted by factoring in weather variation to depict the influence of diverse environmental exposures on the accumulation of recommended MVPA.
Changes in self-efficacy were modeled using Hierarchical Linear Modeling, and potential predictors of change were assessed.
The general approach to data analysis will be to first summarize the variations in the physiological and kinetic measures using hierarchical linear regression models and then to use that information to determine the most appropriate statistical methods, including linear mixed regression models [ 65] and conditional linear mixed regression models [ 65, 66].
Multilevel models (MLM) were fit to the data using Hierarchical Linear Modeling 7.0 software and restricted maximum likelihood estimation procedures (Raudenbush & Bryk, 2002).
GIS will be used to derive indices through which to evaluate the relationship between environmental characteristics and levels of physical activity and health, using Hierarchical Linear Modelling (HLM).
This was performed using hierarchical linear models that included subject ID and time point (L52/NPNL/F52).
To account for intracluster variance within schools, intervention effects will primarily be examined using hierarchical linear modelling (HLM) for normally distributed data and hierarchical generalized linear modelling using a Poisson distribution for count data.
