With apologies for cross-posting:
Greetings from CARMA!
If you want to advance your knowledge of quantitative and qualitative research methods and are a current AOM Student and Academic member, we invite you to Learn from the Best in Your Business by registering for CARMA Live Online Short Courses. You will receive our 50% member discount on registration fees available through a special AOM-CARMA partnership for 2023.
CARMA's next set of Live Online Short Courses will be held May 9-12, 2023, and then we have another set of courses June 5-23, 2023. These courses will be held via CARMA's Virtual Global Classroom using Zoom. These upcoming programs offer a total of 34 courses (each with 20 hrs of content) with an emphasis on hands-on experience and the application of the topic to management/organization topics with an equal amount of lecture and lab-time. Our instructors are leading methodological scholars recognized within the organizational studies and management areas as experts on their topics, and several are current or past editors of leading organizational journals. Details on registration and course information is provided below. Register this week and receive our Advanced Registration Discount.
Registration Instructions:
· Sign-up as a Website User in the CARMA Portal on the CARMA homepage (If you are not already a CARMA Website User).
· Access the Website User Area in the CARMA Portal on the CARMA homepage.
· Once you login, in the CARMA User Area, under the "Register/Purchase" tab select the "Purchase Short Course" link.
· Select the short course that you want to attend and checkout.
May 9-12, 2023 (One Session, Seven Course Options, 9:00 AM-2:00 PM GMT + 1)
Seven course options (all courses are taught concurrently, so a participant can take only one course).
Complete Course Listing:
1. "Advanced Regression and Interactions" - Dr. Jeremy Dawson, Sheffield University
2. "Introduction to Structural Equation Methods" - Dr. Jonas Lang, Ghent University
3. "Grounded Theory Method & Analysis" - Dr. Tine Koehler, The University of Melbourne
4. "Qualitative Text Analysis using Digital Tools" - Dr. Christina Silver, University of Surrey
5. "Introduction to Multilevel Analysis" - Dr. Vicente González-Romá, University of Valencia
6. "Meta Analysis" - Dr. Mike Cheung, National University of Singapore
7. "Case Study Methodology" - Dr. Catherine Welch, Trinity College Dublin
May Courses Descriptions, Pricing, and Time Schedule CLICK HERE!
June 5-23, 2023 (Three Sessions, Twenty-Seven Course Options, 10:00 AM-3:00 PM ET)
(all courses are taught concurrently, so a participant can take only one course per session).
Complete Course Listing by Sessions:
Session 1: June 5-8 (Ten Course Options, Choose One)
1. "Introduction to R and Data Analysis" - Dr. Scott Tonidandel, University of North Carolina-Charlotte
2. "Introduction to Multilevel Analysis with R" - Dr. James LeBreton, Pennsylvania State University
3. "Introduction to SEM with LAVAAN" - Dr. Betty Zhou, University of Minnesota
4. "Systematic Reviews and Meta-Analysis in R" - Dr. Ernest O'Boyle, Indiana University
5. "Introduction to Python for Research" - Dr. Jason T. Kiley, Clemson University
6. "Video Methods" - Dr. Curtis LeBaron, Brigham Young University
7. "Macro Research Methods I: Introductory Quantitative Techniques for Data Management and Analysis" - Dr. Tim Quigley, University of Georgia
8. "Interpretive Methods" - Dr. Jane Le, WHU - Otto Beisheim School of Management
9. "Qualitative Text Analysis using Digital Tools" - Dr. Christina Silver, University of Surrey
10. "Within Person Research" – Dr. Nikos Dimotakis, Oklahoma State University
Session 1 Course Descriptions and Preview Videos CLICK HERE!
Session 2: June 12-15 (Ten Course Options, Choose One)
1. "Advanced Data Analysis with R" - Dr. Justin DeSimone, The University of Alabama
2. "Advanced Multilevel Analysis I: Growth Models, Mediation, Moderation, Multi-Unit Membership" - Dr. Gilad Chen, University of Maryland
3. "Advanced SEM I: Measurement Invariance, LGM, and Non-recursive Models" - Dr. Robert Vandenberg, University of Georgia
4. "Web Scraping: Data Collection and Analysis" - Dr. Richard Landers, University of Minnesota
5. "Theory, Methods, and Analysis for Research with Dyads" - Dr. Janaki Gooty, University of North Carolina Charlotte
6. "Questionnaire Design" - Dr. Lisa Schurer Lambert, Oklahoma State University
7. "Macro Research Methods II: Endogeneity – Concepts, Techniques, and Tools for Addressing Unexplained Heterogeneity" - Dr. John Busenbark, University of Notre Dame
8. "Doing Grounded Theory Research" - Dr. Elaine Hollensbe, University of Cincinnati
9. "Advanced Qualitative Methods for Macro Management Research" - Dr. Rhonda Reger, University of North Texas
10. "Predictive Modelling and Machine Learning in R" – Dr. Louis Hickman, Virginia Tech
Session 2 Course Descriptions and Preview Videos CLICK HERE!
Session 3: June 20-23 (Seven Course Options, Choose One)
1. "Alternatives to Difference Scores: Polynomial Regression, and Response Surface Methodology" – Dr. Jeff Edwards, University of North Carolina
2. "Advanced Multilevel Analysis II: Longitudinal, Consensus Emergence, Bayes and Dichotomous Outcomes" – Dr. Paul Bliese, University of South Carolina
3. "Advanced SEM II: Missing Data Issue in SEM, Multi-Level SEM, and Latent Interactions" – Dr. Robert Vandenberg, University of Georgia
4. "Introduction to Bayesian Analysis" – Dr. Steve Culpepper, University of Illinois
5. "Qualitative Comparative Analysis" – Dr. Thomas Greckhamer, Louisiana State University
6. "Case Study Methods" – Dr. Rebecca Piekkari, Aalto University
7. "Methods/Tools for Analytics that Drive HR People Decisions" – Dr. Ron Landis, Millan Chicago
Session 3 Course Descriptions and Preview Videos CLICK HERE!
June Course Descriptions, Individual & Group Discounts, Time Schedule CLICK HERE!
For more information on our CARMA Short Courses, including registration information, pricing information, and course descriptions, please visit our website.
Sincerely,
Dr. Larry J. Williams, CARMA Founding Director
Rawls College of Business
Texas Tech University
806-834-1479
carma@ttu.edu
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Larry Williams
Professor
Texas Tech University
Lincoln NE
(806) 834-1479
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