Invitation: Join CARMA's Research Methods Faculty Network and event March 28
CARMA would like to invite you to join our Research Methods Faculty Network and attend our upcoming session featuring Dr. Mike Sturman on March 28 (see details below). CARMA's Research Methods Faculty Network (RMFN) was established to support collaboration and sharing of instructional resources among those who teach doctoral-level research methods courses for management/business students. Network events are open to all faculty, including those from non-CARMA member schools. The RMFN is guided by an outstanding Advisory Committee (listed below) and has previously hosted two events (described below). More information on the RMFN can be found here: https://carmattu.com/rm-faculty-network/.
CARMA does want to be Your Partner in Doctoral Training and Faculty Development. Please share this email with research methods instructors in your network so they can consider joining our group and attending our next session. Thanks, Larry
Dr. Larry J. Williams, CARMA Director
A Tutorial on Conducting Computer Simulation for Research and Teaching
Dr. Michael Sturman
Distinguished Professor of HRM
Rutgers University
Friday, March 28
1:30 PM – 2:30 PM EST
This tutorial on computer simulations for research/teaching shows the techniques needed to create data based on desired relationships among variables. Included are techniques to make data more "interesting," including adding skew or kurtosis, creating multi-item measures with unreliability, making data multilevel, and incorporating mediated, moderated, and nonlinear relationships. The methods described in the paper are illustrated using Excel, Mplus, and R; furthermore, the functionality of using ChatGPT to create code in R is explored and compared to the paper's illustrative examples.
No registration necessary aside from being a part of the RMFN. Access to the event will appear in your CARMA User Area under the Access Live Events tab.
Register for the Research Methods Faculty Network to Join this Event
CARMA Research Methods Faculty Advisory Committee:
Heiko Breitsohl, University of Klagenfurt
Elizabeth Campbell, University of Minnesota
Shawn McClean, University of Oklahoma
Scott B. Morris, Illinois Institute of Technology
Lakshmi Balachandran Nair, Luiss University
Deborah Powell, University of Guelph
Alex Rubenstein, University of Central Florida
Heather C. Vough, George Mason University
David Woehr, UNC Charlotte
Betty Zhou, Texas A&M University
Past Research Methods Faculty Network Sessions:
What/How for Your Methods Course
September 8, 2023
Panelists:
Dr. Paul Bliese
Dr. Jeff Edwards
Dr. Larry Williams
This first panel session offered as part of CARMA's Research Methods Faculty Network will feature the discussion of several topics. These include:
- Typical syllabus content of an introductory methods course and related resources
- Tips from experienced faculty on how they approach selected topics
- Guidance for students as they approach the daunting task of learning a broad set of methods and techniques
- How CARMA's revised Research Methods Education Program (RMEP) can be used to support faculty and students as they take research methods courses.
Creating Data Sets for Instruction: Examples with ChatGPT, JASP, and Jamovi
December 1, 2023
Panelists:
Dr. Justine DeSimone
Dr. Matt Howard
Dr. Misty Sabol
Instructors of doctoral courses on research methods and quantitative analysis often need data examples. These can be used for explaining important research design, sampling, and statistical analysis concepts. However, it can often be difficult to find real data that meets the goals of the topic, especially when multiple data sets with different properties are needed. Examples of such topics include relations among variables (e.g., correlations/differences in means), sample size, effect sizes, and violation of assumptions. New software is making data generation for these purposes more manageable. This panel session will demonstrate three tools that can be useful in this context: ChatGPT, JASP, and Jamovi.
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Larry Williams
Professor
Texas Tech University
Lubbock TX
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