With apologies for cross-listings
Greetings from CARMA!
Please be reminded that registration is open for the 2011 CARMA Winter Short Course Program which will include four short courses on research methods and data analysis topics. Our topics include qualitative comparative analysis,multi-level modeling, ethnography and ethnographic methods, and introductory structural equation methods. Additional information on these courses is provided below, and also please visit our website for more details at
http://carma.wayne.edu/.
Our winter Short Course Program will be held at the Double Tree Guest Suites in Detroit, Michigan from January 6 – January 8, 2011. Classes take place from 8:30 am to 5:00 pm on the first two days and from 8:30 am to noon on the third day. Each person may register for one course (fees are charged per course). Members of the CARMA Consortium Webcast Program and the CARMA International Video Library Program are invited to attend CARMA Winter Short Courses with a 50% discounted rate. CARMA Member Faculty/Professional rate is $375.00 and CARMA Member Student rate is $275.00. Advanced registration for non-member faculty/Professionals is $750.00 and for Students is $550.00. The deadline for advanced registration is December 1, 2010. Course summaries are included in this email. To register log in to the CARMA website and access the Short Courses heading.
As always, feel free to call or email with any questions or concerns.
2011 CARMA Winter Short Course Program
“Qualitative Comparative Analysis”
Instructor: Dr. Thomas Greckhamer, Louisiana State University
Course summary
This workshop will introduce participants to the Qualitative Comparative Analysis approach by outlining its theoretical foundations and key operational processes of its application. Participants will gain an understanding of how to apply this approach to an array of research questions in organizational research as well as identifying and evaluating the types of research questions which this methodology can properly address and for which it is appropriate. Topics include the theory and assumptions of the Qualitative Comparative Analysis approach, Crisp-Set vs. Fuzzy-Set analyses, hands-on application of Qualitative Comparative Analysis, and the interpretation of Qualitative Comparative Analysis results.
“Multi-Level Modeling”
Instructor: Dr. Daniel Newman, University of Illinois at Urbana-Champaign
Course Summary
The CARMA short course on Multilevel Modeling covers the basics of multilevel theory and data analysis. Topics include within-group agreement and reliability, cross-level modeling (for both contextual effects and cross-level interactions), and longitudinal/growth modeling. All analyses will be implemented in SAS Proc Mixed. If desired, participants may bring their own datasets to be analyzed during the course.
“Ethnography and Ethnographic Methods”
Instructor: Dr. Michael Pratt, Boston College
Course Summary
The purpose of this short course is to aid qualitative researchers in designing and implementing an ethnography or a qualitative research project that includes some ethnographic elements (e.g. ethnographic interviews). The course will be comprised of three major sections: (a) designing an ethnographic study; (b) ethnographic skill building, including interviews, observation, and data analysis; and (c) writing and publishing your ethnographic research. The course will combine readings, “tales from the field” / discussions regarding the unique tensions and challenges of doing ethnographic research, and hands-on learning. Newcomers and more established researchers are welcome. If appropriate, participants are invited to bring samples of their own data to the session.
“Introduction to Structural Equation Methods”
Instructor: Dr. Larry J. Williams, Wayne State University
Course Summary
The Introduction to Structural Equation Methods Short Course provides (a) introductory coverage of confirmatory latent variable techniques, including confirmatory factor analysis and structural equation methods with latent variables, (b) discussion of special issues related to the application of these techniques in organizational research, and (c) a comparison of these techniques with traditional analytical approaches. This Short Course will contain a balance of lecture and hands-on data analysis with examples and assignments, and emphasis will be placed on the application of SEM techniques to organizational research problems.