Free AOM Access to CARMA events this Friday, Jan 31: Kevin Corley, Don Bergh
CARMA (Consortium for the Advancement of Research Methods & Analysis) is a non-profit academic center at Texas Tech University now in our 26th year of providing research methods education. We are pleased to offer live online access to our Webcast Lectures free of charge to AOM Student and Academic Members as part of the AOM-CARMA Affiliate Program. We invite you to join us for our upcoming Webcast Lecture Series on Friday, January 31, as we cover:
· Qualitative Research for Maximum Impact
Dr. Kevin Corley, Imperial College London
Friday, January 31 | 9:00 AM EST (New York) / 2:00 PM GMT (London)
Abstract
In working with and talking to other qualitative researchers, some of the most challenging issues and questions to arise revolve around how to develop meaningful theoretical insights from the empirical analysis of qualitative data. Part of the reason why these issues and questions are so challenging is because crafting meaningful theoretical insights involves intuition and humble confidence, two skills that can really only be built through experience. But it helps tremendously if that experience is born out of well-designed and rigorously executed qualitative research projects. To help scholars craft well-designed and rigorously executed projects, I have teamed up with Charlotte Cloutier and Ann Langley to write a book detailing our guidance on how to craft qualitative research for maximum impact. In this session, I will share our orienting framework and use it to explore some of the fundamental elements of developing rigorous yet relevant contributions in qualitative research.
· Best Practices for Using Matched Sample Designs to Reduce Selection Effects
Dr. Don Bergh, University of Denver
Friday, January 31 | Noon EST (New York) / 5:00 PM GMT (London)
Abstract
A major threat to empirical findings for studies that have nonrandom samples is selection bias. Currently, most solutions to this threat have concentrated on analytical modeling and little guidance exists in organizational research for how study designs can reduce selection bias prior to the analysis stage. This webcast will address how sample selection bias can be reduced through matched sample research designs. It will describe what matched sample research designs are, the dominant approaches for creating them, and when a particular matching methodology provides the most optimal solution. Best practices for creating, using, evaluating, and reporting matched samples are provided.
Our AOM Affiliate Program also gives you access to CARMA's AOM Video Library Collection. The collection consists of 5 recordings available each month and serve as a valuable resource for authors, reviewers, editors, and instructors and aid in enriching the learning experience. The available recordings for the month of January are:
· Dr. Joep Cornelissen - Theoretical Triangulation
· Dr. Jason Huang - Insufficient Effort Responding
· Dr. Jose Molina-Azorin - Mixed Methods Research
· Dr. Mike Pratt - Qualitative Research Looking Back/Forward
· Dr. Bert Weijters - SEM with Experimental Data
Note: CARMA is experiencing delays re-establishing the direct access link since AOM updated their Member Portal. For your convenience, we are providing access to our upcoming January Live Online Events and the January AOM-CARMA Collection via this link: carmattu.com/AOMAccess
Dr. Larry Williams, CARMA Director
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Larry Williams
Professor
Texas Tech University
Lubbock TX
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