CARMA's January 2025 Live Online Short Courses are available for registration at a discounted rate for AOM members through our AOM-CARMA Affiliate Program. At CARMA, we believe that many who need/want to learn research methods prefer live instruction, where questions can be asked and answered in real time about issues and topics related to their research. And we recognize the importance of qualitative research methods, so please allow us to tell you more about our upcoming qualitative courses.
CARMA's instructors are "The Best In Our Business" and are recognized within the organizational studies and management areas as leading methodological scholars. Our instructors include experts who are current or former Editors/Associate Editors for ORM, AMJ, JAP, and OBHDP. They also include several AOM-RMD Distinguished Career and Early Career award winners. Our courses provide opportunities to advance knowledge and skills, while networking with instructors and fellow participants.
We have three qualitative courses scheduled for January 6-9, 2025 (10:00amET-3:00pmET, mon-thurs). Visit each course's web page (links below) and find the course description, instructor bio, and a short video preview by the instructor.
Through the AOM-CARMA Affiliate Program, faculty and students who register by December 16 enjoy the discounted pricing of $400 available to our AOM-CARMA Affiliate Members.
We appreciate your patience as we re-establish direct access to CARMA content following the AOM Member Portal update. While this process continues, we've created an alternative way for AOM members to register and receive their discount.
Review the course list below to find the one that best suits your needs, and once you've decided, click here to register.
· Qualitative Short Courses
- Cultivating Discovery in Qualitative Research, Dr. Karen Golden-Biddle
- Both validation and discovery are essential to research. Yet because of the emphasis in methods texts on validation, discovery has been overlooked. Instead, they should be steadfast partners. This short course will explore what cultivating discovery in qualitative research involves, in particular its important role in theorizing and writing. We will focus on discovery through the following avenues: reading about discovery, analyzing how authors cultivate discovery in theorizing, trying on discovery in the practices of coding and artifact creation, and assessing the viability of discovery in our own work.
- Process Data, Dr. Anne Smith
§ Pragmatic qualitative data analysis through an interpretive lens. This course will discuss and give hands-on exercises to approach and analyze data, primarily textual, in interpretive field research. By textual data, I am referring to data generated in an interpretive inquiry; data can include interview transcriptions, archival documents supporting the research inquiry, field notes, and other textual data. [To clarify: This course is NOT covering how to analyze a large corpus of textual data ("Big Data") using tools such as structured and unstructured big data analysis. The course will provide a hands-on approach to analyze data (primarily data related to organizational or individual processes, actions over time) by providing pragmatic ways to interrogate all your data and to move a process study forward. We will work through several exercises that include coding and creating analytical artifacts to begin to see potential theoretical connections and contributions. Qualitative analysis will use actual interview data and coding exercises will be undertaken "by hand" (in Word or Excel). (If you have access to with a Computer Aided/Assisted Qualitative Data Analysis Software (CAQDAS), such as NVivo, QDA Miner, or atlas.ti, please feel free to use it for the exercises, but absolutely CAQDAS is NOT required.) If you are working on a project and would like input, we will conduct a masterclass style to review projects and provide advice. Time can also be built in for individual consulting during the course.
§ In this course, we will focus on collecting, analyzing, writing, and reviewing papers using interview data. In the first section, we will tackle questions around who to choose as your informants, how to access informants, how to put together an interview protocol, and how to perform interviews. In the next section, we'll explore various ways of analyzing interview data. The third section of the course will emphasize the actual writing up of qualitative data, in other words, how to move from coded data to a written findings section. In the final section of the class, we will discuss reviewing qualitative work as well as common hurdles in the review process on the way to publication. Participants in this course should have at least an idea for an interview-based study in mind and would benefit from having initial data to work with over the course of the short course.
CARMA is a non-profit academic center at Texas Tech University now in our 26th year of providing research methods education. For more information about CARMA, visit our website: carmattu.com. To ensure that you don't miss out on any upcoming CARMA events, add subscribe to our CARMA Calendar (subscribe button located at the bottom of the calendar).
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Larry Williams
Professor
Texas Tech University
Lubbock TX
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