Four integrative data analysis strategies for mixed-method evaluation designs are derived from and illustrated by empirical practice: data transformation, typology development, extreme case analysis, ...

Methodology Research Design A mixed-methods research design was employed, utilizing descriptive statistical methods for quantitative data and thematic analysis for qualitative data.

The method of maximum likelihood (ML) is widely used for analyzing generalized linear mixed models (GLMM's). A full maximum likelihood analysis requires numerical integration techniques for ...

This general framework accommodates many common correlated-data methods, including variance component models and repeated measures analyses. A few other procedures in SAS/STAT software offer limited ...