CARMA Live Online Short Courses

June 5-23, 2023

June 5-23, 2023 – Three Sessions, Twenty Six Course Options

Session 1: June 5-8, Ten Course Options | Session 2: June 12-15, Ten Course Options | Session 3: June 20-23, Six Course Options

Complete Course Listing by Course Categories

Quantitative Short Courses

Data Analysis with R

  • Introduction to R and Data Analysis (Session 1)
  • Advanced Data Analysis with R (Session 2)
  • Alternatives to Difference Scores: Polynomial Regression, and Response Surface Methodology (Session 3)

Multilevel Analysis

  • Introduction to Multilevel Analysis with R (Session 1)
  • Advanced Multilevel Analysis I: Growth Models, Mediation, Moderation, and Multi-Unit Membership (Session 2)
  • Advanced Multilevel Analysis II: Longitudinal, Consensus Emergence, Bayes and Dichotomous Outcomes (Session 3)

Structural Equation Analysis

  • Introduction to SEM with LAVAAN (Session 1)
  • Advanced SEM I: Measurement Invariance, Latent Growth Modeling & Nonrecursive Modeling (Session 2)
  • Advanced SEM II: Missing Data Issue in SEM, Multi-Level SEM and Latent Interactions (Session 3)

Big Data Tools

  • Introduction to Python for Research (Session 1)
  • Web Scraping: Data Collection and Analysis (Session 2)
  • Predictive Modeling and Machine Learning in R (Session 2)

Research Methods

  • Systematic Reviews and Meta-Analysis in R (Session 1)
  • Macro Research Methods I: Introductory Quantitative Techniques for Data Management and Analysis (Session 1)
  • Questionnaire Design (Session 2)
  • Theory, Methods, and Analysis for Research with Dyads (Session 2)
  • Macro Research Methods II: Endogeneity – Concepts, Techniques, and Tools for Addressing Unexplained Heterogeneity (Session 2)
  • Introduction to Bayesian Analysis (Session 3)
  • Within Person Research (Session 1)

Qualitative Short Courses

  • Video Methods (Session 1)
  • Interpretive Methods (Session 1)
  • Interpretive Qualitative Process Data Analysis (Session 1)
  • Qualitative Text Analysis using Digital Tools (Session 1)
  • Doing Grounded Theory Research (Session 2)
  • Advanced Qualitative Methods for Macro Management Research (Session 2)
  • Qualitative Comparative Analysis (Session 3)
  • Case Study Methods (Session 3)

Complete Course Listing by Sessions

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

Note: ECTS credits are available for CARMA Short Courses! For course participants from institutions using the European Credit Transfer and Accumulation System (ECTS), CARMA recommends that successful course participation be rewarded with 2 (two) ECTS credits per short course.

Complete Course Listing

Session 1 (Choose One) Session 2 (Choose One) Session 3 (Choose One)
Mon. June 5 through Thur. June 8 Mon. June 12 through Thur. June 15 Tue. June 20 through Fri. June 23
1. “Introduction to R and Data Analysis” –
Dr. Scott Tonidandel, University of North Carolina-Charlotte
1. “Advanced Data Analysis with R” –Dr. Justin DeSimone, The University of Alabama 1. “Alternatives to Difference Scores: Polynomial Regression, and Response Surface Methodology” – Dr. Jeff Edwards, University of North Carolina
2. “Introduction to Multilevel Analysis with R” –
Dr. James LeBreton, Pennsylvania State University
2. “Advanced Multilevel Analysis I: Growth Models, Mediation, Moderation, Multi-Unit Membership” –
Dr. Gilad Chen, University of Maryland
2. “Advanced Multilevel Analysis II: Longitudinal, Consensus Emergence, Bayes and Dichotomous Outcomes” – Dr. Paul Bliese, University of South Carolina
3. “Introduction to SEM with LAVAAN” –
Dr. Betty Zhou, University of Minnesota
3. “Advanced SEM I: Measurement Invariance, LGM, and Non-recursive Models” – Dr. Robert Vandenberg, University of Georgia 3. “Advanced SEM II: Missing Data Issue in SEM, Multi-Level SEM and Latent Interactions” – Dr. Robert Vandenberg, University of Georgia
4. “Systematic Reviews and Meta-Analysis in R” – Dr. Ernest O’Boyle, Indiana University 4. “Web Scraping: Data Collection and Analysis” – Dr. Richard Landers, University of Minnesota 4. “Introduction to Bayesian Analysis” (***)
Dr. Steve Culpepper, University of Illinois
5. “Introduction to Python for Research”– Dr. Jason T. Kiley, Clemson University 5. “Theory, Methods, and Analysis for Research with Dyads” –Dr. Janaki Gooty, University of North Carolina Charlotte 5. “Qualitative Comparative Analysis”– Dr. Thomas Greckhamer, Louisiana State University
6. “Video Methods”– Dr. Curtis LeBaron, Brigham Young University 6. “Questionnaire Design” –Dr. Lisa Schurer Lambert, Oklahoma State University 6. “Case Study Methods” (****)Dr. Rebecca Piekkari, Aalto University
7. “Macro Research Methods I: Introductory Quantitative Techniques for Data Management and Analysis” – Dr. Tim Quigley, University of Georgia 7. “Macro Research Methods II: Endogeneity – Concepts, Techniques, and Tools for Addressing Unexplained Heterogeneity(**)Dr. John Busenbark, University of Notre Dame
8.“Interpretive Methods” – Dr. Jane Le, WHU – Otto Beisheim School of Management 8. “Doing Grounded Theory Research” –Dr. Elaine Hollensbe, University of Cincinnati
9. “Qualitative Text Analysis using Digital Tools” (*)Dr. Christina Silver, University of Surrey 9. “Advanced Qualitative Methods for Macro Management Research” – Dr. Rhonda Reger, University of North Texas
10. “Within Person Research” – Dr. Nikos Dimotakis, Oklahoma State University 10. “Predictive Modeling and Machine Learning in R” – Dr. Louis Hickman, Virginia Tech

(*) This course will be offered from Monday through Wednesday from 10 AM to 4:30 PM ET (3 PM to 9:30 PM London Time).

(**) This course will be offered from Monday through Thursday from 12 PM to 5 PM ET (5 PM to 10 PM London Time). Stata is required for this course.

(***) This course will be offered Tuesday, Thursday, and Friday from 10 AM to 4:30 PM ET (3 PM to 9:30 PM London Time).

(****) This course will be offered from June 19 to June 22 (Monday through Thursday).

Time Schedule

Session 1

Country Time Zone Date
June 5, Mon. June 6, Tue. June 7, Wed. June 8, Thur.
US ET 10 AM-3 PM 10 AM-3 PM 10 AM-3 PM 10 AM-3 PM
England UTC+1 3 PM-8 PM 3 PM-8 PM 3 PM-8 PM 3 PM-8 PM

(*) Dr. Christina Silver’s course will be offered from Monday through Wednesday from 10 AM to 4:30 PM ET (3 PM to 9:30 PM London Time).

Session 2

Country Time Zone Date
June 12, Mon. June 13, Tue. June 14, Wed. June 15, Thur.
US ET 10 AM-3 PM 10 AM-3 PM 10 AM-3 PM 10 AM-3 PM
England UTC+1 3 PM-8 PM 3 PM-8 PM 3 PM-8 PM 3 PM-8 PM

(**) Dr. John Busenbark’s course will be offered from Monday through Thursday from 12 PM to 5 PM ET (5 PM to 10 PM London Time). Stata is required for this course. 

Session 3

Country Time Zone Date
June 20, Tue. June 21, Wed. June 22, Thur. June 23, Fri.
US ET 10 AM-3 PM 10 AM-3 PM 10 AM-3 PM 10 AM-3 PM
England UTC+1 3 PM-8 PM 3 PM-8 PM 3 PM-8 PM 3 PM-8 PM

(***) Dr. Steve Culpepper’s course will be offered on June 20 and June 22 to June 23 (Tuesday, Thursday, and Friday) from 10 AM to 4:30 PM ET (3 PM to 9:30 PM London Time).

(****) Dr. Rebecca Piekkari’s course will be offered from June 19 to June 22 (Monday through Thursday).

Registration

To register for 2023 CARMA Short Courses, 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, click “Register/Purchase” tab and select “Purchase Short Courses”. You will then be brought to a page in which you can select your course(s) and continue on to reserve your spot(s).

Advanced Registration Group Discount

CARMA’s Institutional Membership program provides a 50% Individual Member Discount on the registration fee for each slot reserved by a member faculty/student in any CARMA Live Online Short Course.

CARMA’s new Advanced Registration Group Discount for our June Short Courses provides additional reductions in the registration fees for faculty/students from an Institutional Member school when the total number of course registrations exceed a minimum number of slots: 5+, 10+, or 15+. Note, these minimum number registration requirements for the Advanced Registration Group Discount can be met in more than one way (e.g., five people can each register for a course for a total of five slots, or fewer people can register for multiple courses to achieve the minimum five slot requirement).

NOTE: The Advanced Registration Group Discount for our June 2023 Short Courses is ONLY AVAILABLE FOR GROUP REGISTRATIONS SUBMITTED BY APRIL 1.

Available until April 1, 2023
(per course, per person)
Student Faculty
5-9 participants $350 $470
10-14 participants $300 $420
15+ participants $250 $370

Individual Pricing/Deadlines

Pricing Dates CARMA
Institutional/Affiliate Program Members
Non-CARMA
Members
1 Course 2 Courses * 3 Courses ** 1 Course 2 Courses * 3 Courses **
Advanced Registration
02/01/23 – 04/01/23
Faculty $520 $990 $1,460 $1,040 $2,030 $3,020
Advanced Registration
02/01/23 – 04/01/23
Student $400 $750 $1,100 $800 $1,550 $2,300
Normal Registration
04/02/23 – 05/05/23
Faculty $570 $1,090 $1,610 $1,140 $2,230 $3,320
Normal Registration
04/02/23 – 05/05/23
Student $450 $850 $1,250 $900 $1,750 $2,600
Late Registration
05/06/23 – 05/31/23
Faculty $620 $1,190 $1,760 $1,240 $2,430 $3,620
Late Registration
05/06/23 – 05/31/23
Student $500 $950 $1,400 $1,000 $1,950 $2,900

* – These prices reflect a discount in which you register for 2 courses and receive $50 off.

**– These prices reflect a discount in which you register for 3 courses and receive $100 off. For this discount.

Refund Policy: Full refund will be provided up to 2 weeks before the first day of the session. After that date, partial refund (50%) will be provided.

Find out if your organization is a CARMA Member. (US and Canada institutions only).

If your organization is not yet a member but would like to become one, you can find purchasing and renewal information here.