| Popis: |
This article contributes to the mixed methods research (MMR) field a description of utilizing MMR in a single-subject design. The example utilizes a convergent intensive longitudinal data collection strategy and an explanatory bidirectional framework for data merging analysis to examine one female faculty member’s practices of incorporating social-emotional learning (SEL) and mindfulness during the COVID-19 pandemic to reduce burnout. By examining results from the dynamic p-technique (a special case of structural equation modeling) and reflexive journaling resulting in autoethnography, a clearer, longitudinal picture of one faculty member’s lived experience emerged. The study is a concrete demonstration of how structural equation modeling and autoethnography methods can be combined within a convergent data collection strategy and explanatory bidirectional analytic framework. Readers interested in replicating the dynamic p-technique analyses can access our tutorial and supplemental materials at https://bit.ly/osfburnout. |
