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Mixed methods for research and evaluation designs
March 28 @ 12:00 pm - 4:00 pm$175
A 4-hour workshop taught by Julie Posselt, Ph.D.Register
Many research and evaluation agendas can be strengthened through the use of multiple types of data and/or research methods. Different data types make possible different types of inferences. By juxtaposing and mixing them, we can obtain a more comprehensive picture of the phenomena we study and programs we want to improve. This four-hour workshop will equip you with both the perspective to appreciate the possibilities and limits of mixed methods research and evaluation, and the practical strategies for designing studies of your own.
Through the workshop, participants will understand the unique benefits of mixed methods research and evaluation designs. They will learn the difference between multiple and mixed methods, as well as principles for choosing from concurrent and sequential mixed methods project designs. Participants will gain practice with selecting and organizing appropriate suites of data types and methods given their core foci and/or research questions, and they will receive an overview of methodologies — such as case studies— that are inherently multi-method. By the end of the workshop, participants will have greater awareness of their options in designing studies that draw upon multiple methods, as well as how they might combine methods to address their own questions and foci for research or evaluation.
Pricing and Schedule
Time: Wednesday, March 28, 12:00PM to 4:00PM (EST)
We offer $25 graduate student and multiple workshop discounts. Find out about our discounts here.
Time permitting, Dr. Posselt will also answer questions about participants’ specific research projects. Participants can ask questions via chat, microphone, or telephone. In order to allow sufficient time for questions, the number of workshop participants is limited to 30.
Who should attend?
The target audience for this workshop is researchers or administrators who are tasked with developing and implementing research or evaluation designs. This is an intermediate workshop that assumes participants have a basic understanding of the differences between survey, administrative, interview, and observational data collection approaches.
About the instructor
Julie Posselt is an Assistant Professor of higher education in the USC Rossier School of Education and a National Academy of Education/ Spencer Foundation postdoctoral research fellow. Using multiple methods and organizational and sociological theory, Posselt’s research is aimed at understanding and mitigating institutionalized inequalities in higher education. Her current work examines the implications of status competition and organizational decision making for student access, attainment, and wellbeing. She has strong interests in research methods, and has been conducting mixed and multi-method research for fifteen years.
Julie recently completed a major qualitative study of faculty decision making in graduate admissions that was published Fall 2015 by Harvard University Press. Other work has been published in American Educational Research Journal, Research in Higher Education, Higher Education: Handbook of Theory and Research, and the Chronicle of Higher Education, among others. She is a member of the editorial review board for Journal of Higher Education.
Learn more about Dr. Posselt here.Register