
Cheryl N. Poth
University of Alberta (CA)
Cheryl Poth, PhD is a professor, award-winning instructor, and author at the Centre for Research and Applied Measurement and Evaluation in the Faculty of Education at the University of Alberta in Canada. She is co-founder and lead of the Alberta Community and Clinical Evaluation and Research Team and serves as the methodologist on several cross-disciplinary research teams. Her specific research interests include enhancing research quality and collaborative research teams in the fields of education and the health sciences. She co-authored the 4th edition of Qualitative Inquiry & Research Design (2017, Sage) with John Creswell and recently released the 5th edition (2024, Sage). She served as editor of The SAGE Handbook of Mixed Methods Research Design (2023, Sage). Her books, Innovation in Mixed Methods Research: Guiding Practices for Integrative Thinking with Complexity (2018, Sage) and Research Ethics (2021, Sage), are inspired by the dilemmas she hears in the field by learners. As an active member of the global mixed methods and qualitative research communities, she served as the fourth president of the Mixed Methods International Research Association and as chair of the advisory board of the International Institute of Qualitative Methodology. She has delivered dozens of invited talks and capacity-building workshops on five continents. She currently serves as associate editor of the Journal of Mixed Methods Research (Sage) and editorial board member of several publications, including the International Journal of Qualitative Methodology (Sage), Methods in Psychology (Elsevier), and Canadian Journal of Program Evaluation (Canadian Evaluation Society).
All Sessions by Cheryl N. Poth
Designing Qualitatively-Oriented Mixed Methods Research
OnlineHow can mixed methods designs be leveraged to prioritize qualitative perspectives in their integration with quantitative research approaches? This short course sheds light on the nine key integration decisions researchers make in qualitatively-oriented mixed methods designs and how to incorporate evidence of qualitatively prioritized integration in your work.
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