Learn with AOM: Methods Training Series
Learn with AOM: Expanding access to Research Methods Education
AOM is introducing Learn with AOM: Methods Training Series, powered by CARMA, a new online learning opportunity designed to support doctoral students and early-career scholars with accessible, practice-oriented introductions to topics that are foundational for current research methods and data analysis techniques. As part of AOM’s Vision 2030 initiative, the AOM Board of Governors Methods Committee has led the development of the strategic framework guiding this initiative.
Register for upcoming Advanced Workshops, as part of Learn with AOM: Methods Training Series
The series brings together AOM’s scholarly community and the Consortium for the Advancement of Research Methods & Analysis (CARMA)’s expertise in research methods education to create a learning opportunity that can support scholars at different points in their research journeys.
Two Course Tracks to Fit Your Needs
Learn with AOM: Methods Training Series is being offered as a pilot program for AOM members. Participant feedback will help inform future research methods education opportunities that AOM is developing.
Advanced Topic Workshop Track — November 2026–February 2027
This series of eight, 3-hour synchronous learning sessions is offered for users to experience individually or as a set. Their goal is to build on the Concepts and Tools series, and provide a deeper methodological treatment of current research methods and data analysis techniques. Workshops will include lectures, panel discussions, and hands-on experiential components. The techniques covered are both quantitative and qualitative and are used by both micro and macro management researchers.
Topics of the eight workshops include:
- Grounded Theory
- Multilevel Analysis
- Computational Modeling
- Large Language Models (LLMs)
- Interpretive Content Analysis
- Using AI to Enhance Your Research and Data Analysis
- Panel Analysis
- Introduction to Causal Inference
As with the introductory series, content delivery is provided in a hybrid format, with new live content and related recordings as well as existing recorded content curated from CARMA’s extensive video library. The educational experience is supported by optional readings, assessments of learning, and use of discussion boards to reinforce course objectives.
Live Sessions: 5 November, 17 November, 3 December, 15 December, 13 January, 25 January, 8 February, and 23 February.
Times: Either 9:00-12:00pm Eastern or 13:00-16:00 Eastern. Recordings will be available through the Learn with AOM: Methods Training Series library, providing an opportunity to engage with a rich variety of content beyond the live sessions.
Concepts & Tools for Research Methods – Asynchronous Training Recordings & Assessments Posted
All four courses within this introductory track now with post-event content available!
This introductory track focused on opportunities to explore foundational and emerging topics in research methods. Each 3-hour tutorial session was held via live training and included a lecture introducing key concepts followed by a lab session introducing use of key statistical software and related tools. AOM member can still register for this track to access all session recordings of the trainings to asynchronously learn, as well as participate in training assessments and discussion forums.
These recently completed courses covered:
- Data structures and statistical models
- Qualitative data coding
- Programming languages
- Machine learning
Recordings are available through the Learn with AOM: Methods Training Series library, providing an opportunity to engage with a rich variety of content beyond the live sessions.
I’ve been part of the CARMA community since the first year of my PhD program, and it’s been an invaluable resource throughout my training, from the webcast lectures and online resources to the short courses offered twice a year. As someone whose home institution houses CARMA, I’ve seen firsthand how much value it brings to doctoral students working to build their methods foundation. These new guided mini-courses in partnership with AOM are a fantastic opportunity for AOM members at any career stage to sharpen their skills in current methods and analysis, and a great low-barrier way for affiliate members to experience what CARMA has to offer.
Sophia ThomasPhD Candidate, Texas Tech University
View Methods Training Series Events
Events
-
-
Advanced Topic Workshop Series: Grounded Theory
This session will cover topics such as iteration between data collection and analysis, purposeful and theoretical sampling, the constant comparative method, ensuring trustworthiness, theoretical saturation, and developing emergent theory.
-
Advanced Topic Workshop Series: Multilevel Analysis
This lecture will discuss basic and advanced multilevel analyses, using random coefficient modeling (RCM) in R. The lecture will start by laying out a foundation for analyzing two-level models in RCM, where the dependent variable is at the lower level (Level 1), and predictors are at both the lower level (Level 1) and a higher-level unit (Level 2).
-
-
Advanced Topic Workshop Series: Computational Modeling
By the end of this workshop, participants will gain an understanding of the importance of computational modeling for effective theory development and how to take the next steps in developing computational models for their own theories of interest.
-
Advanced Topic Workshop Series: Large Language Models
This session will explore more advanced uses of LLMs, including automated qualitative coding and use of LLM embeddings in natural language models.
-
-
Advanced Topic Workshop Series: Interpretive Content Analysis
This applied module engages researchers in the practice of doing advanced qualitative analysis. Focused on interpretive analysis, it focuses on practices of coding and analysis with particular attention paid to the advanced analytic processes that facilitate novel theorizing.
-
Advanced Topic Workshop Series: Using AI to Enhance Your Research and Data Analysis
This workshop will address five areas researchers should consider when exploring the potential for AI to assist with research and analysis: (1) recognizing potential errors and limitations in AI-generated outputs, (2) using AI to generate and refine research ideas, (3) developing research design and measurement using AI, (4) applying AI’s capabilities to data analysis and interpretation, and (5) writing alongside AI.
-
-
Advanced Topic Workshop Series: Panel analysis
The goal of the session is to conduct analysis and interpret the results in line with the various tests performed and a hypothetical research question that could be explored with the data.
-
Advanced Topic Workshop Series: Introduction to Causal Inference
In this session, we focus on the assumptions that make causal inference possible and on the ways those same assumptions constrain it.