Integrating Autoethnography and Dynamic P-Technique: A Convergent Explanatory Bidirectional Single-Subject Study on Embodying Mindfulness as an Instructor
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引用次数: 0
Abstract
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.
期刊介绍:
The Journal of Mixed Methods Research serves as a premiere outlet for ground-breaking and seminal work in the field of mixed methods research. Of primary importance will be building an international and multidisciplinary community of mixed methods researchers. The journal''s scope includes exploring a global terminology and nomenclature for mixed methods research, delineating where mixed methods research may be used most effectively, creating the paradigmatic and philosophical foundations for mixed methods research, illuminating design and procedure issues, and determining the logistics of conducting mixed methods research. JMMR invites articles from a wide variety of international perspectives, including academics and practitioners from psychology, sociology, education, evaluation, health sciences, geography, communication, management, family studies, marketing, social work, and other related disciplines across the social, behavioral, and human sciences.