To illustrate the application of a preference design to health education research, we present analyses using process data from a mixed RCT/preference trial comparing two formats (Group or Self-Directed) of the "Women take PRIDE" heart disease management program.
Altogether, these data favour a mixed process of concerted and birth-and-death evolution acting on the DUXY gene family within the hominids [44].
Furthermore, we developed the framework to encapsulate simulation data from legacy data and process data for visualization based on mixed reality.
This significantly contributed to a well-mixed process.
The framework evolved through an iterative process of mixed method data analysis, reference to the literature, reflection and research team discussion over a period of 6 years.
The mixed method data collection included process mapping, observations, semi-structured interviews, real-time surveys, medical record review, and audits and content analysis.
According to Ivankova et al. ([2006], p.9), priority is typically given to the quantitative approach in the sequential explanatory design 'because the quantitative data collection comes first in the sequence and often represents the major aspect of the mixed-method data collection process'.
Sequential mixed method data collection strategies involve collecting data in an iterative process whereby data collected in one phase contribute to data collected in the next.
The goals of the Spiritual AIM study were to provide preliminary, mixed-methods data regarding the process, content, and impact of Spiritual AIM in the outpatient palliative care setting (see Figure 1 for components of Spiritual AIM study).
