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DTSTART;TZID=America/New_York:20250929T140000
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SUMMARY:Social Network Analysis in the Organizational Sciences - Jessica Methot
DESCRIPTION: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.
URL:https://carmattu.com/event/special-event-methot/
LOCATION:CARMA Virtual Classroom
CATEGORIES:Special Event
ATTACH;FMTTYPE=image/png:https://carmattu.com/wp-content/uploads/2025/09/Methot.png
ORGANIZER;CN="CARMA":MAILTO:carma@ttu.edu
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DTSTART;TZID=America/New_York:20251003T090000
DTEND;TZID=America/New_York:20251003T101500
DTSTAMP:20260414T050658
CREATED:20250918T160753Z
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SUMMARY:Qualitative Meta Studies - Dr. Stefanie Habersang
DESCRIPTION: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.
URL:https://carmattu.com/event/webcast-habersang/
LOCATION:CARMA Virtual Classroom
CATEGORIES:Webcast Lectures
ATTACH;FMTTYPE=image/png:https://carmattu.com/wp-content/uploads/2025/09/Habersang_YT.png
ORGANIZER;CN="CARMA":MAILTO:carma@ttu.edu
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DTSTART;TZID=America/New_York:20251003T103000
DTEND;TZID=America/New_York:20251003T114500
DTSTAMP:20260414T050658
CREATED:20250919T143237Z
LAST-MODIFIED:20250924T144307Z
UID:10000162-1759487400-1759491900@carmattu.com
SUMMARY:Use of Control Variables in Dissertation Research
DESCRIPTION:Management dissertation projects are primarily designed to test theory-related hypotheses between independent and dependent variables. It is well understood that “control” variables play an important role in these projects\, as their use can eliminate alternative explanations for results and increase confidence in study findings. Although decisions to include control variables have historically seemed simple\, recent research has shown their use can introduce less obvious complexities to study design and analysis. In this panel session\, authors of recent research on control variables will share their views and provide guidance on when and how to best use control variables in dissertation studies. \nPanelists: \n\nDr. Herman Aguinis\nDr. Paul Spector\nDr. Michael Sturman
URL:https://carmattu.com/event/phdprep-october/
LOCATION:CARMA Virtual Classroom
CATEGORIES:Ph.D. Prep Panels
ATTACH;FMTTYPE=image/png:https://carmattu.com/wp-content/uploads/2025/09/PhDPrep-1.png
ORGANIZER;CN="CARMA":MAILTO:carma@ttu.edu
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DTSTART;TZID=America/New_York:20251003T120000
DTEND;TZID=America/New_York:20251003T131500
DTSTAMP:20260414T050658
CREATED:20250918T181722Z
LAST-MODIFIED:20250924T144319Z
UID:10000149-1759492800-1759497300@carmattu.com
SUMMARY:Strategic Data Collection for Qualitative Studies - Dr. Bess Rouse
DESCRIPTION: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.
URL:https://carmattu.com/event/webcast-rouse/
LOCATION:CARMA Virtual Classroom
CATEGORIES:Webcast Lectures
ATTACH;FMTTYPE=image/png:https://carmattu.com/wp-content/uploads/2025/09/Rouse_YT.png
ORGANIZER;CN="CARMA":MAILTO:carma@ttu.edu
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