Drexel University School of Education's Office of Research is proud to host, "A Playful Look at Data Transformation: Guest Lecture and Workshop on Analyzing Patterns using Mixed Methods Strategies" on Friday, June 7th, 2019 from 10:00 am - 3:30 pm. All Faculty and students who are interested in qualitative, quantitative or mixed methods research are invited to attend.
Research methods are often presented as if they are an exercise regime that must be followed in the same prescriptive manner and sequence every time. Instead they are merely guidelines that offer a starting off place, with unexpected if not downright paradoxical findings often redirecting the researcher to new and creative ways of approaching data to sense patterns. In a guest lecture, Dr. Elizabeth Creamer, professor, Emerita of educational research at the School of Education at Virginia Tech University and president of the Mixed Methods International Research Association, will provide a brief overview of mixed methods models and explain the concept of quantitizing qualitative data and qualitatizing quantitative data. In the workshop, participants will get to work with dataset from Dr. Creamer and bring their own data.
EVENT SCHEDULE- 10am-12:00pm: Guest Lecture: Participants can attend the lecture only, or opt to stay
- 12pm-1:00pm: Networking & Lunch
- 1:00pm-2:00pm: Workshop Pt I: Visualizing data for analysis (hands-on activity)
- 2:00pm-3pm: Workshop Pt II: Exploring ways to integrate your own data
- 3:00pm-3:30pm: Debrief
Dr. Creamer’s lecture will address two ways of transforming or converting data that are referred to mixed methods as “quantitizing” and “qualitizing.” The purpose of quantitizing is to aggregate or compare data in order to discern patterns of regularities and irregularities and to convert qualitative data to a form that is amenable for statistical manipulation. Much less common in practice, qualitizing is the process of converting quantitative data into a narrative or case profile. This workshop provides multiple examples of formative uses of both types of data transformation. Formative uses involve the display of data in tables and figures not merely to summarize findings but to advance analytical insight by generating hypotheses and themes to direct additional analyses. Participants will have several opportunities to work hands-on with visual displays to generate themes.
LEARNING OBJECTIVES- Distinguish between quantifying, quantitizing, and qualitizing as mixed method data analytic strategies.
- Provide multiple examples of quantifying, quantitizing, and qualitizing in mixed methods research.
- Illustrate the differences between a formative and summative use of a visual display.
- Address the ways that dissonance between different sources of data can contribute to innovative insights.
- Generate ideas about different ways to incorporate data transformation in a research project.
ABOUT DR. CREAMERDr. Elizabeth G. Creamer is professor, Emerita from the program in educational research in the School of Education at Virginia Tech in Blacksburg, Virginia, USA. She is the author of the SAGE 2018 textbook,
An Introduction to Fully Integrated Mixed Methods Research and current president of the Mixed Methods International Research Association (MMIRA). She is currently at work on writing a new textbook to be published with Routledge,
Advancing Grounded Theory with Mixed Methods Research. Her NSF-funded research involves women’s success and retention in science, technology and engineering.