2025-2026 AOM-CARMA Upcoming Events on Sept. 29 & Oct. 3
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 announce another year of collaboration with the Academy of Management to provide free AOM-CARMA Affiliate Program to active AOM members. This program gives current AOM Student and Academic Members complimentary access to a limited set of CARMA's research methods education resources as part of their AOM membership benefits.
We invite you to join us on Monday, September 29 for a special session on Social Network Analysis in the Organizational Sciences then close out the week with us on Friday, October 3 with two Webcast Lectures: Qualitative Meta-Studies and Strategic Data Collection for Qualitative Studies and a Ph.D. Prep Panel on the Use of Control Variables in Dissertation Research. Don't miss this opportunity to learn from The Best in Our Business.
Special Event: Monday, September 29 | 2:00 PM ET
Social Network Analysis in the Organizational Sciences
Dr. Jessica Methot, Rutgers University
A social network is a set of actors (e.g., person, team, firm) and the ties connecting them (e.g., relationship, exchange, or interaction). These ties serve as conduits through which resources such as information flow; they also serve as prisms through which to make inferences and shape perceptions. Social network analysis (SNA) is the use of graph-theoretic and matrix algebraic techniques to study the social structure and strategic positions of actors in social networks. As a methodological tool, SNA allows scholars to visualize and analyze webs of ties to identify their origins and dynamics and link these structures to actors' attitudes and behaviors. In this session, we will discuss (1) how to define the boundaries of a social network, (2) approaches (and challenges) to collecting network data, (3) metrics that can be derived from network data, (4) linking network data and theory, and (5) research questions to which social network analysis can be applied. A major appeal of network analysis is the distinctive lens it offers to examine a range of organizational phenomena at different levels; so, this session may be of interest to scholars studying topics such as trust, leadership, human capital, mentoring, DE&I, groups and teams, communication, work-nonwork interface, newcomer socialization, emotions, and employee well-being.
Webcast Lecture: Friday, October 3 | 9:00 AM ET
Qualitative Meta-Studies
Dr. Stefanie Habersang, Leuphana University
Qualitative meta-studies (QMS) are increasingly recognized as a fruitful qualitative methodology in management research. QMS serves as an umbrella term for scientific inquiries that reanalyze and synthesize rich, contextualized qualitative case studies or case material to generate novel theoretical insights and enhance the transferability of qualitative findings. In this lecture, we will explore different approaches to QMS and their epistemological foundations examine the kinds of theoretical and practical insights they can generate, and challenge some of the common myths surrounding this methodology. The session provides a hands-on introduction to QMS and illustrates, through empirical examples, the core methodological choices in QMS as well as the reflective, yet often implicit, meta-practices essential for deriving meaningful results from QMS.
Ph.D. Prep Panel: Friday, October 3 | 10:30 AM ET
Use of Control Variables in Dissertation Research
Panelists:
· Dr. Herman Aguinis
· Dr. Paul Spector
· Dr. Michael Sturman
Webcast Lecture: Friday, October 3 | Noon ET
Strategic Data Collection for Qualitative Studies
Dr. Bess Rouse, Boston College
An effective strategy for conducting high-quality qualitative research under academic publication pressures begins with deliberate choices about what data to collect and how to collect it. In this talk, we'll explore strategic approaches to designing qualitative data collection that enhance analytical potential and methodological rigor. I'll present practical strategies for context selection, sampling, and design choices that leverage variance and process. We'll discuss how to design studies for meaningful contrasts and comparisons, and develop research protocols that generate rich, comprehensive data. This session emphasizes the critical front-end decisions that determine what data you have available and how they enable the development of compelling theoretical insights. Participants will gain practical tools for establishing a foundation for logical, persuasive methods sections that demonstrate scholarly rigor.
Accessing your 2025-2026 AOM-CARMA Affiliate Program Benefits
For 2025-2026, AOM Members will no longer be able to access CARMA program benefits from their AOM Member area. Instead, they must have a CARMA User Account and must sign up for the 2025-2026 CARMA-AOM Affiliate Program. If you are an AOM member, follow the steps below.
New to CARMA – Create a New CARMA User Account
- If you've never registered with CARMA through an Institutional or Affiliate Membership:
- Create a CARMA User Account (Note: Gmail, Yahoo, Hotmail, and other webmail addresses are not accepted.)
- Check your email for a verification link.
- The message will come from CARMA@ttu.edu via carma=ttu.edu@notifications.med.und.edu.
- Verify your email, then log in to your CARMA User Area to finish setting up your account.
Current AOM Affiliate Members – Create a new CARMA User Account Password
- If you've previously registered through the AOM-CARMA direct connection, you already have a CARMA User Account but will need to create a new password:
1. Visit CARMA User Area Forgot Password, and enter the same email address you use for your AOM account.
2. Click on E-Mail Reset Password Instructions.
3. The reset instructions will come from CARMA@ttu.edu via carma=ttu.edu@notifications.med.und.edu.
Register for the 2025-2026 CARMA-AOM Affiliate Program:
To access the CARMA-AOM Affiliate Program benefits, now that you have your CARMA account and password sign up for the 2025-2026 CARMA-AOM Affiliate Program:
1. Once logged in to your CARMA User Area, click the Register/Purchase tab.
2. Choose 2025-2026 CARMA-AOM Affiliate Program.
3. Click Continue, then Proceed to Checkout. (Even though it's free, checkout is required to complete registration.)
Once you have signed up for the free 2025-2026AOM-CARMA Affiliate Program, no additional registration is required to attend the special event or CARMA's Live Online Webcast Lectures. Access will be found in your CARMA User Areaunder the Access Live Events tab.
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Larry Williams
Professor
Texas Tech University
Lubbock TX
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