| Greeting from CARMA!
We are a non-profit academic unit, and the world's leading provider of research methods education for organizational scholars. We are excited to announce our first Short Course offerings for 2018 and would like to emphasize the following: - Short Courses will be held at the University of South Carolina January 4-6, 2018.
- Our Short Course instructors are former editors and current editorial board members from leading organizational journals who are recognized experts on their topics and who understand how their methods are applied in organizational settings.
- Our Short Courses include a mix of lecture and hands-on experiential activities, and participants have the opportunity to socialize and network with our instructors and faculty/doctoral students from leading universities.
More information on CARMA and our Short Courses, including course descriptions, instructor biographies, preview videos from our instructors, and registration information can be found here. | | | Offerings at The University of South Carolina Columbia, South Carolina | | |
January 4th & 5th (full days), January 6th (AM half day) | | INTERMEDIATE SEM, MODEL EVALUATION | | INTRODUCTION TO MULTILEVEL ANALYSIS |
| | | INTRODUCTION TO LONGITUDINAL ANALYSIS | | INTRODUCTION TO TEXT ANALYSIS
| | | *Please note all four of these courses are offered concurrently, so you are only able to purchase and attend one course. | | | To register for 2018 CARMA Short Courses at the University of South Carolina, you must first log in to your CARMA account. (If you do not already have an account, please sign-up as a website user). Once you have logged in, and you are in the User Area, select "Purchase Short Course" on the right side of the page.
Prices Per Course:
| Non-Member | CARMA Member* | SMA Member** | | Faculty/Professional | $800.00 | $400.00 | $300.00 | | Student | $600.00 | $300.00 | $225.00 |
**All Southern Management Association Members receive discounted prices on Short Course registration fees for all South Carolina Short Courses, for more information on the discount, sign into SMA's website and under the "Resources" tab select "CARMA".
| | Introduction to SEM Course Description: This course is aimed at faculty and students with an introductory understanding of structural equation methods who seek a better understanding of the challenging process of making judgments about the adequacy of their models. Those who attend should have experience in fitting structural equation models with software such as LISREL, MPlus, EQS, or AMOS. This experience requirement can be met by completion of the Introduction to SEM Short Course. Attendees will be expected to bring their own laptop computers installed with their SEM software, and they should also know how to import data from an SPSS save file into their SEM software program. Attendees will learn out to interpret and report results from SEM analyses, and how to conduct model comparisons to obtain information relevant to inferences about their models, as well as advantages and disadvantages of different approaches to model evaluation. Attendees are encouraged to bring their own data for use during parts of the short course.
Introduction to Multilevel Analysis Course Description: The CARMA Multilevel Analysis short course provides both (1) the theoretical foundation, and (2) the resources and skills necessary to conduct a wide range of multilevel analyses. The course covers within-group agreement, nested 2-level multilevel modeling and growth modeling. All practical exercises are conducted in R. Participants are encouraged to bring datasets to the course and apply the principles to their specific areas of research.
Introduction to Longitudinal Analysis Course Description: Nearly all phenomena studied within the organizational and social sciences evolve, transform, or change over time. Unfortunately, there is still little research that explicitly adopts a longitudinal perspective. This neglect is due to theoretical, methodological, and analytical challenges. First, most theories offer little insight into how and why change occurs. Second, there are a variety of design and measurement complexities that are unique to longitudinal designs. Finally, a number of different analytical approaches can be used to model the same data, yet there is little guidance for identifying which approach is most appropriate in a given situation. The purpose of this workshop is to introduce scholars to longitudinal research. We will first discuss theoretical and conceptual issues that must be addressed when developing a longitudinal study. We will next consider how to design a longitudinal study, including how to anticipate and reduce the common problems that nearly always occur (e.g., attrition). We will conclude by spending considerable time reviewing and using different longitudinal analytic methods, including repeated measures GLM, random coefficient growth models, and latent growth models. Students are strongly encouraged (but not required) to bring their own datasets to be modeled during the workshop.
Introduction to Text Analysis Description: Analyzing textual data can be approached inductively or deductively, depending on the selected methodological approach of the research project. In this workshop, we will discuss and undertake hands-on text analysis exercises. Top down or a more confirmatory approach to text analysis will cover topics such as: dictionary application (e.g., Zavyalova, et al., 2016 & LIWC dictionary; Short et al., 2009); dictionary creation (Franco, Alexander, & Smith, working paper; Short et al., 2010); template utilization (Crabtree & Miller, 1999; King, 2004); and collocation analysis (Gephart, 1997). Students will be working with textual data to explore these techniques. Bottom up or more exploratory approach will include an in vivo, manual coding exercise and a demonstration of coding techniques using computer aided qualitative data analysis software (CAQDAS). No prior knowledge of software or text analysis is required.
| | If you have any questions or concerns, please feel free to contact us. We hope to hear from you soon, and thanks in advance for sharing this email with colleagues at your school!
Good luck in your research!
Sincerely,
Dr. Larry J. Williams, CARMA Founding Director
Jessi Jensen, CARMA Assistant Director
Consortium for the Advancement of Research Methods & Analysis College of Business Administration University of Nebraska-Lincoln | | | |