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Methodology of the empirical investigation includes an inductive case study approach that employs descriptive and explanatory methods.
In the past, such comparisons have been conducted only for extrapolative methods (Booth et al. 2006; Shang et al. 2011) but also for extrapolative and explanatory methods (Stoeldraijer et al. 2013), including methods that even use etiological data such as smoking and nonsmoking-related mortality (Janssen et al. 2013; Wang and Preston 2009).
Consequently, we modeled the data using predictive methods instead of explanatory methods[ 12].
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CLONAL FRAME is an explanatory method, estimating clonal relationships and looking for key recombination events with a view of finding the mechanisms implied in microevolution [ 47].
A sequential explanatory mixed methods design was used in the attitudinal learning survey.
Different levels of organization correspond in this view to different fields: Fields are individuated intellectually by a focal problem, a domain of facts related to the problem, explanatory goals, methods and a vocabulary.
This study used a sequential explanatory mixed methods design to describe and examine sense of community, community participation, and life satisfaction among Hispanic immigrants from two communities in rural Nebraska NN = 180 survey participants; N = 53 focus groups participants).
In the face of increasing demand on researchers in the field to carry out more empirical research (Leahey 2016), we suggest an explanatory mixed methods design for studying issues that have been presented in the proposed conceptual framework.
Use of an explanatory mixed methods design (Punch 2009) enabled examination of the potential of qualitative data to corroborate quantitative data (Bryman 2008) and contributed evidence relating to why change did or did not occur.
We used a sequential explanatory mixed methods study design.
The rationale behind selecting an explanatory mixed methods design is guided by our research aims.
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