Palinkas et al. (2011) provides one of the earliest and most influential empirical frameworks for mixed methods designs in implementation research, demonstrating how integrating qualitative and quantitative approaches strengthens understanding of implementation processes, context, and mechanisms beyond what single‑method studies can achieve.

Dr. Lawrence Palinkas from the University of Southern California provides an overview of mixed methods designs in D&I science, which combines qualitative data with quantitative data to provide a deeper understanding of the implementation process. This webinar describes experiences with using mixed methods in different types of service systems. Dr. Palinkas’s presentation begins at the 3:00 minute mark. (Video; 57 minutes)

This paper by Green et al. (2015) synthesizes approaches to mixed methods D&I research, offering practical guidance on integrating qualitative and quantitative methods, clarifying their strengths and caveats, and identifying opportunities to advance theory‑driven and contextually informed implementation studies.

In this webinar from NCI’s Advanced Topics in Implementation Science series, panel members discusses how qualitative methods can be effectively integrated into implementation research and addresses some of the key questions that have arisen about use of qualitative methods in D&I. After speaker introductions, the panel discussion begins around the 11:30 minute mark. (Video; 60 minutes)