CARMA Invites AOM Members to Friday April 10 Webcast Lectures and Ph.D. Prep Panel
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 excited to be continuing our collaboration with the Academy of Management with our free AOM-CARMA Affiliate Program.
As part of this Affiliate Program, we want to invite you to join two upcoming Webcast Lectures and a Ph.D. Prep Panel. Topics, presenters, and dates/times are listed below. Presenter bios and a link to CARMA Quick Chat interviews with them can be found on their respective CARMA event website.
No registration is required. You can access the workshops directly from the links provided below.
· Publishing Replications: Why, What, How
Dr. Xavier Martin
Friday, April 10 | 9:00 AM – 10:15 AM ET
"A discipline that does not encourage replication and instead values the novel and the interesting invites ambitious academics to publish interesting one-off findings without any concern about scrutiny" (Pillutla and Thau, 2013: 192). In other words, replications keep a field healthy. They are also a powerful way for scholars to sharpen their skills, refine their ideas, and overall make stronger contributions. But what do we mean by replication? Why conduct different types of replication studies? How do you design, conduct, write, and publish them? In this webinar, we will first clarify the differences among reproducibility, replication, and generalizability studies, and discuss the role each can play in cumulative social science. Although some large-scale replications are known for exposing fragile findings, most replication studies in management duly aim to extend, strengthen, and refine existing knowledge. That is, they are constructive replications that aim to add methodological value and identify conceptual boundaries. Next, we will discuss a framework for thinking about the questions specific to replication research from both the author's and the editor's perspective: which study to replicate, how to structure the analysis, what to emphasize in the writing, and what is different about the review and revision process. Finally, we will touch on new methodological and institutional developments that make it possible to compare studies, assess generalizability and transportability, collaborate at scale and get replications published, so that replication can advance both your own research agenda and the field as a whole.
To join live event:
https://zoom.us/j/93800477613?pwd=tVRj8YF9rMiw277ge0oWEeOfZyzedX.1
Meeting ID: 93800477613
Passcode: 825227
· Practical Realities of Running Experiments and How They Shape Your Methods
Dr. Anand van Zelderen, Dr. Dorothy Carter, Dr. Chris Myers
Friday, April 10 | 10:30 AM - 11:45 AM ET
Designing an experiment on paper is only half the job. Once you are in the lab or working with student participants, the everyday realities start to shape what your study can actually look like. Managing lab staff, coordinating participant flow, handling no-shows, troubleshooting technology problems, and keeping the procedure consistent all influence the quality of your data and the strength of your inferences. These practical details are not separate from your methodological choices. They determine whether you can truly implement random assignment, maintain experimental control, deliver manipulations as intended, and protect the integrity of your measures. Learning how to anticipate and manage these day to day issues helps you run cleaner studies, make more defensible methodological claims, and build a smoother path from your design to your conclusions.
To join live event:
https://zoom.us/j/99877562474?pwd=M1Yj2aSwoQ9WclbSYCxix19JJZYLBY.1
Meeting ID: 99877562474
Passcode: 945723
· The EESOP Fables: Misconceptions About Endogeneity and Self-Organization in Social Network Research
Dr. Steve Borgatti
Friday, April 10 | Noon - 1:15 PM ET
A small, but growing body of network research, treats structural features such as reciprocity, transitivity, and degree heterogeneity as self-organizing, endogenous mechanisms inherent to social networks. I identify a coherent if largely implicit perspective I term the Emergent Endogenous Self-Organizing Perspective (EESOP). I argue that EESOP conflates three distinct senses of endogeneity (statistical, structural, and dynamic), misattributes the property of self-organization (which more properly applies to emergent macro patterns than to the micro-level tendencies that produce them), and treats networks as sui generis entities with their own inherent properties and laws - a position difficult to sustain given that networks are analytical constructs whose boundaries and content are defined by the researcher. The perspective is reminiscent of the orthogenesis movement in evolutionary biology, in which species are seen as having an intrinsic evolutionary momentum independent of exogenous forces. I also note the role of semantic transitive closure in amplifying these conceptual slippages across the literature. The paper concludes with observations on how the rhetorical appeal of complex terminology contributes to theoretical imprecision in the field.
To join live event:
https://zoom.us/j/94974219000?pwd=i0i4PQPb6dJHRv0zTPPW8oSRLS3Q7q.1
Meeting ID: 94974219000
Passcode: 608754
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Larry Williams
Professor
Texas Tech University
Lubbock TX
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