Structural equation modeling and autoethnography have rarely been integrated in scientific studies. The example employs a convergent intensive longitudinal data collection strategy and an explanatory bidirectional framework for data merging analysis to examine one instructor's practices of incorporating social-emotional learning (SEL) and mindfulness 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 picture of one faculty member's lived experience emerged. The study concretely demonstrates how structural equation modeling and autoethnography methods can create an integrated, longitudinal picture of reality.