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, ...

What do you do if you want to embed social justice into mixed-methods research? Where can you go and how can you do it? Social justice research needs a purposeful emphasis on justice throughout the ...

Your elective choices include Foundations of Qualitative Research, Qualitative and Mixed Methods Research in Public Health, and Qualitative Research: Analysis and Interpretation. By the time you earn ...

We develop a mixed (fixed and random effects) models approach to the age-period-cohort (APC) analysis of micro data sets in the form of a series of the repeated cross-section sample surveys that are ...

Objectives Homelessness is a global public health concern which extends to the health and well-being of people working in homelessness, and this mixed-methods systematic review aims to explore their ...

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 ...