tutorials
The following tutorials are narrated PowerPoint presentations by UNC faculty, research staff, and other colleagues.
They provide brief overviews of selected topics in Implementation Science, particularly focusing on research methods applied in dissemination & implementation research.
get informed
Qualitative Methods in dissemination & implementation research
Explore a useful method to help tailor evidence, inform a social marketing campaign and evaluate an implementation effort.
Tutorial name (narrated by) |
Author(s) |
Transcript |
Running time |
Supplementary materials |
| Overview (Catherine Rohweder, DrPH) |
Bryan Weiner, PhD Randall Teal, MPH Catherine Rohweder, DrPH |
QM-Overview | 14 minutes | |
| Customizing Evidence (Catherine Rohweder, DrPH) |
Alexis Moore, MPH | QM-Customizing Evidence | 8 minutes | |
| Dissemination Case Study (Joan Cates, PhD, MPH) |
Joan Cates, PhD, MPH | QM-Dissemination Case Study | 8 minutes | |
| Implementation Case Study (Joseph Kalna) |
Bryan Weiner, PhD | QM-Implementation Case Study | 13 minutes |
Qualitative Comparative Analysis (QCA) in dissemination & implementation research
Learn about a mixed methods analytic technique that can be used to explain how factors work together to contribute to a positive outcome of interest.
Tutorial name (narrated by) |
Author(s) |
Transcript |
Running time |
Supplementary materials |
| Overview (Catherine Rohweder, DrPH) |
Bryan Weiner, PhD |
QCA-Overview | 23 minutes | |
| A Crisp Set Illustration (Leila Kahwati, MD, MPH) |
Heather Kane, PhD Leila Kahwati, MD, MPH Megan Lewis, PhD Pam Williams, PhD |
QCA-Crisp | 18 minutes | Best practices in the Veterans Health Administration’s MOVE! Weight Management Program |
| A Fuzzy Set Illustration (Randall Teal, MPH) |
Bryan Weiner, PhD | QCA-Fuzzy | 14 minutes | Organizational Designs for Achieving Treatment Trial Enrollment: A Fuzzy-Set Analysis of the Community Clinical Oncology Program |
Systems Science in dissemination & implementation research
Systems science methodologies provide a way to address complex problems, while taking into account the big picture and context of such problems.
Tutorial name (narrated by) |
Author(s) |
Transcript |
Running time |
Supplementary materials |
| Social Network Analysis (Bryan Southwell, PhD) |
Bryan Southwell, PhD Christine Bevc, PhD |
No transcript | 9 minutes | |
| Agent Based Modeling (Georgiy Bobashev, PhD) |
Georgiy Bobashev, PhD | No transcript | 15 minutes |
Structural Equation Modeling (SEM)
Structural equation modeling (SEM) is a family of statistical methods designed to test a conceptual model. Some common SEM methods include confirmatory factor analysis, path analysis and latent growth modeling. If you’re interested in learning more about using SEM in Implementation Science, check out our Implementation Case Study.
Tutorial name (narrated by) |
Author(s) |
Transcript |
Running time |
Supplementary materials |
| Implementation Case Study (Sandy Diehl, MPH) |
Sara Jacobs, PhD | No transcript | 15 minutes |