Upcoming Courses

Short Courses Overview

Each CARMA short course is typically a two or two and a half day session on a research method or data analysis topic. CARMA Short Courses place an emphasis on hands-on experience and on the application of the methodology aimed at skills development through equal amount of lecture and lab-time. Instructors are leading methodological scholars recognized within the organizational studies and management areas as experts on their topics. Several are current or past editors of leading organizational journals. Our list of short courses include introductory and advanced training on topics that might not be readily available at your institution. In addition, our short courses provide students and faculty with the opportunity to network with leading scholars and other students/faculty in their areas of interest.

More than 1,200 faculty and students from universities throughout the world have attended CARMA Short Courses since the summer of 2004. Past locations of these courses include Virginia and Michigan in the United States, as well as Brazil, Australia, India, The Netherlands, Israel, and China.

CARMA Short Course Evaluations

Past Participants had this to say about the CARMA Short Course program:

  • “Expert instructors, lively instruction, good balance between presentation and application.”
  • “The instructors did a great job explaining (1) conceptual issues (2) statistical content; (3) actually working with the program package.”
  • “Instructors were really awesome, the program as a whole was very organized and on schedule”
  • “The instructor was terrific! The venue was excellent.”
  • “I really thought the course was outstanding in all regards! Very helpful to my own research/publication efforts.”
  • “Excellent instructor! Extremely knowledgeable. We were able to actually practice/apply the theory to an article. Great experience!”
  • “Superb program – great contribution to academic community around the country.”
  • “Everything was wonderful – thank you so much for creating a format through which the knowledge could be so easily and cleanly passed on.”
  • “Absolutely awesome! Well worth the time and money!”
  • “This is an excellent program that I will recommend to my colleagues. I really appreciated the hospitality, the quality of lectures/materials, and the friendliness and accessibility of the instructors. Thank you very much – I learned a lot.”

Short Courses in Adelaide, Australia, November 18-22, 2019 – Two Sessions, Two Courses

Hosted by University of South Australia

Session 1: November 18-20 | Session 2: November 20-22

We offer two sessions which allows course participants the opportunity to take two back-to-back courses.

Session 1

Monday November 18 (all day), Tuesday November 19 (all day), and Wednesday November 20 (AM half day)

Session 2

Wednesday November 20 (PM half day), Thursday November 21 (all day), and Friday November 22 (all day)

Registration, Pricing, Advanced Registration Deadline

To register for 2019 CARMA Short Courses in Adelaide, Australia, 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.

Non-member prices per course: *All prices are in US Dollars (USD)
• Faculty/Professional: $900.00
• Students: $700.00
CARMA Member prices per course
• Faculty/Professional: $450.00
• Students: $350.00

If your organization is not yet a member but would like to become one, please contact us directly at carma@ttu.edu.

All participants are eligible for the following discount:
Register for both sessions, receive $75 off the total price.

Advanced Registration Deadline is Friday, November 1, 2019. After this date, a $75.00 fee will be added to all registrations.

Short Courses in Columbia, South Carolina, January 9-11, 2020 – One Session, Nine Course Options

Hosted by University of South Carolina

Short Course Sessions and Groupings

All courses in a session are taught concurrently, so a participant can take only one course per session.

Option 1: “Introduction to R and Data Analysis” – Dr. Scott Tonidandel, University of North Carolina-Charlotte

Option 2: “Advanced Data Analysis with R” – Dr. Ron Landis, Illinois Institute of Technology

Option 3: “Introduction to Data Mining with R” – Dr. Jeff Stanton, Syracuse University

Option 4: “Introduction to Statistical Learning with Big Data in R” – Dr. Fred Oswald, Rice University

Option 5: “Introduction to SEM with LAVAAN” – Dr. Robert Vandenberg, University of Georgia

Option 6: “Introduction to Multilevel Analysis with R” – Dr. Paul Bliese, University of South Carolina

Option 7: “Web Scraping: Data Collection and Analysis” – Dr. Richard Landers, University of Minnesota

Option 8: “Systematic Reviews and Meta-Analysis with R” – Dr. Ernest O’Boyle, Indiana University

Option 9: “Open Science and R: Principles and Practices” – Dr. George Banks, University of North Carolina Charlotte

Short Courses in Detroit, Michigan, June 1-6, 2020 – Two Sessions, Twelve Course Options

Hosted by Wayne State University

Session 1: June 1-3, Six Course Options | Session 2: June 4-6, Six Course Options

Short Course Sessions and Groupings

We offer two sessions which allows course participants the opportunity to take two back-to-back courses that complement one another. All courses in a session are taught concurrently, so a participant can take only one course per session.

Complete Course Listing

Session 1                                                                                                                  Session 2

Mon. June 1 (all day), Tue. June 2 (all day), and Wed. June 3 (half day)             Thr. June 4 (all day), Fri. June 5 (all day), and Sat. June 6 (half day)

  1. “Introduction to R and Data Analysis” – Dr. Scott Tonidandel, University of North Carolina-Charlotte
  2. “Introduction to Data Mining with R” – Dr. Jeff Stanton, Syracuse University
  3. “Introduction to SEM with R” – Dr. Larry Williams, Texas Tech University
  4. “Advanced SEM I with LAVAAN” – Dr. Robert Vandenberg, University of Georgia
  5. “Introduction to Multilevel Analysis with R” – Dr. James LeBreton, Pennsylvania State University 
  6. “Systematic Reviews and Meta-Analysis with R” – Dr. Ernest O’Boyle, Indiana University
  7. “Advanced Topics in Survey Research” – Dr. Christiane Spitzmueller, University of Houston 
  8. “Open Science and R: Principles and Practices” – Dr. George Banks, University of North Carolina Charlotte
  1. “Advanced Data Analysis with R” – Dr. Ron Landis, Illinois Institute of Technology
  2. “Introduction to Statistical Learning with Big Data in R” – Dr. Fred Oswald, Rice University
  3. “Advanced SEM II with LAVAAN” – Dr. Robert Vandenberg, University of Georgia
  4. “Advanced Multilevel Analysis with R” – Dr. Paul Bliese,  University of South Carolina
  5. “Introduction to Bayesian Analysis with R” – Dr. Steve Culpepper, University of Illinois 
  6. “Questionnaire Design” – Dr. Lisa Schurer Lambert,  Oklahoma State University
  7. “Advanced Regression: Alternatives to Difference Scores, Polynomial Regression, and Response Surface Analysis” – Dr. Jeff Edwards, University of North Carolina
  8. “Web Scraping: Data Collection and Analysis with R” –Dr. Richard Landers, University of Minnesota

Qualitative Short Courses in Detroit, Michigan, June 2020 – Two Sessions, Eight Course Options

Hosted by Wayne State University

Session 1: June 2020, Four Course Options | Session 2: June 2020, Four Course Options

Short Course Sessions and Groupings

We offer two sessions which allows course participants the opportunity to take two back-to-back courses that complement one another. All courses in a session are taught concurrently, so a participant can take only one course per session.

Complete Course Listing

Session 1                                                                                                                  Session 2

  1. “Introduction to Qualitative Methods/Ethnography”
  2. “Text/Image Analysis and Computer Aided Qualitative Data Analysis Software (CAQDAS)”
  3. “Interviewing for Qualitative Research”
  4. “Mixed Methods”
  1. “Advanced Qualitative Analysis”
  2. “The Craft of Inductive Qualitative Research”
  3. “Grounded Theory Method and Analysis”
  4. “Qualitative Analysis for Organizational Change”

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