AERA-ICPSR PEERS Data Hub to Hold STEM Data and Research Methods Workshops in March—No Fee, Register Now
AERA-ICPSR PEERS Data Hub to Hold STEM Data and Research Methods Workshops in March—No Fee, Register Now
 
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February 2021

In March, the AERA-ICPSR PEERS Data Hub will hold two workshops, one on using the Stanford Education Data Archive (SEDA) and the other on mentorship and collaboration in quantitative research. The Data Hub is offering two series in 2021. A methods series features webinars on each of the 11 methods institutes funded by the National Science Foundation (NSF). A data series will feature a data set relevant to STEM research that is rich with opportunities for multi-investigator research.

All of these webinars will broadcast live on Zoom, with opportunities for Q&A from attendees. ASL interpretation and captioning will be provided. Registrants are not charged a fee for any of the workshops.

“We are pleased to continue expanding high-quality and accessible professional development opportunities during a very challenging time for many researchers,” said Felice J. Levine, executive director of AERA and principal investigator of the Data Hub, along with Margaret Levenstein, director of the Inter-university Consortium for Political and Social Research. “Through these data and research methods webinar series, the AERA-ICPSR PEERS Data Hub is helping scholars to advance their STEM-related research and widen the toolkit of methods and data that can be incorporated into their agendas of work.”

Introduction to the Stanford Education Data Archive (SEDA)

Taught by prominent researchers sean f. reardon (Stanford University), Andrew D. Ho (Harvard University), Benjamin R. Shear (University of Colorado, Boulder), Erin M. Fahle (St. John’s University), “Introduction to the Stanford Education Data Archive (SEDA)” will be held on March 9, 12:30 p.m.–2:30 p.m. EST.

This workshop will introduce attendees to SEDA, a database of nationally comparable academic achievement data made publicly available by The Educational Opportunity Project (EOP) at Stanford University. SEDA is based on roughly 430 million standardized test scores from third–eighth grade students in U.S. public schools, districts, counties, and states from the 2008–09 through 2017–18 school years.

These data enable nationwide research to better understand student achievement and educational opportunity. In this workshop, the EOP team will provide a description of SEDA’s contents, showcase examples of correlational and causal research that can be conducted with SEDA, and highlight relevant validation studies that support the use of SEDA in different types of research.

This workshop is the first webinar in the PEERS STEM Data and Data Use Series. 

Mentorship & Collaboration in Quantitative Research: The NSF Quantitative Research Methods Scholars (QRM) Program

Taught by leading experts Laura M. Stapleton (University of Maryland, College Park), Gregory R. Hancock (University of Maryland, College Park), Kimberly A. Griffin (University of Maryland, College Park), “Mentorship & Collaboration in Quantitative Research: The NSF Quantitative Research Methods Scholars Program” will be held on March 17, 1:00 pm–4:00 pm EST.

In this workshop, the instructors will present the NSF Quantitative Research Methods Scholars Program, a year-long mentorship and training institute designed after the principles of effective team science. The institute provides quantitative methods training, one-on-one quantitative research mentorship, and facilitated peer-to-peer mentorship for early career researchers.

Workshop instructors will also review strategies for effective peer collaboration for interdisciplinary research teams, with particular focus on the promises and challenges of collaborations between substantive and quantitative methodological researchers.

Instructors will discuss models of mentorship between education researchers and quantitative methodologists and outline ways to construct mentorship relationships to best support the professional development of the mentees. Participants will evaluate their own mentorship and mentee styles and identify the mentorship models most appropriate to their needs. Finally, quantitative mentors and current members of the NSF QRM Scholars Program will share their experiences with the program.

This workshop is the third webinar in the 11-part PEERS Research Methods Series. The series is held in collaboration with the Institutes in Research Methods (IRM), which is funded by NSF and directed to NSF’s Building Capacity for STEM Education Research (BCSER) program.

The PEERS Data Hub was launched by AERA and the Inter-university Consortium for Political and Social Research (ICPSR) in November 2020. It is an NSF-funded collaborative space for STEM education research communities to build and advance knowledge by sharing innovative ideas, methods, and tools. The platform is supported by NSF through its Core Research Program in the Directorate for Education and Human Resources.

 
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