CARMA Live Online Short Courses

Asia Region


July 6-10, 2020 – Two Sessions, Four Course Options

Session 1: July 6-8 | Session 2: July 8-10

Short Course Sessions and Groupings

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

Complete Course Listing

Session 1                                                                                                                  Session 2

Mon. July 6 (all day), Tue. July 7 (all day), and Wed. July 8 (AM half day)      Wed. July 8 (PM half day), Thr. July 9 (all day), and Fri. July 10 (all day)

  1. “Questionnaire Design” – Dr. Lisa Schurer Lambert,  Oklahoma State University
  2. “Advanced Data Analysis with R” – Dr. Justin DeSimone, The University of Alabama
  1. “Introduction to SEM” – Dr. Larry Williams, Texas Tech University
  2. “Advanced Multilevel Analysis with R” – TBA

Session 1: July 6-8, Two Course Options (Choose One)

Option #1: “Questionnaire Design” – Dr. Lisa Schurer Lambert,  Oklahoma State University

This workshop will help you develop and execute your data collection. Topics include designing your project (selecting variables and scales, sampling requirements) with a special emphasis on revising/creating new scales (scale development procedures, validation techniques). We will also review procedures for assessing construct validity (EFA/CFA) and focus on how to design your questionnaire to obtain high quality data. Finally, procedures for managing your data collection and for cleaning your data (missing data, outliers, identifying careless responders). There will be opportunities to advance your own project within the workshop.

Option #2: “Advanced Data Analysis with R” – Dr. Justin DeSimone, The University of Alabama

This short course will begin with an introduction to linear regression analysis with R, including models for single/multiple predictors and model comparison techniques.  Particular attention will be paid to using regression to test models involving mediation and moderation, followed by consideration of advanced topics including multivariate regression, use of polynomial regression, logistic regression, and the general linear model. Exploratory factor analysis and MANOVA will also be covered. For all topics, examples will be discussed and assignments completed using either data provided by the instructor or by the short course participants.

Required Software: R (download here), R Studio (download here)

Session 2: July 8-10, Two Course Options (Choose One)

Option #1: “Introduction to SEM” – Dr. Larry Williams, Texas Tech University

The Introduction to Structural Equation Methods Short Course provides (a) introductory coverage of 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. Participants will:

  • develop skills required to conduct confirmatory latent variable data analysis, based on currently accepted practices, involving topics and research issues common to organizational research.
  • learn the conceptual and statistical assumptions underlying confirmatory latent variable analysis.
  • learn how to implement data analysis techniques using software programs for confirmatory modeling. Special emphasis will also be placed on the generation and interpretation of results using LAVAAN and LISREL.
  • learn how latent variable techniques can be applied to contemporary research issues in organizational research.
  • learn how the application of current latent variable techniques in organizational research differs from traditional techniques used in this literature
  • complete in-class exercises using LAVAAN and LISREL.

Required Software: R installed with LAVAAN package (R (download here), RStudio (download here)) or LISREL (free trial edition)

Option #2: “Advanced Multilevel Analysis with R” – TBA

The CARMA Advanced Multilevel Analysis short course provides both (1) the theoretical foundation, and (2) the resources and skills necessary to conduct advanced multilevel analyses.  The course covers both basic models (e.g., 2-level mixed and growth models), and more advanced topics (e.g., 3-level models, discontinuous growth models, and multilevel models for dichotomous outcomes).  Practical exercises, with real-world research data, are conducted in R.  Participants are encouraged to bring datasets to the course and apply the principles to their specific areas of research.  The course is best suited for faculty and graduate students who have at least some foundational understanding of conducting multilevel analyses.

  • Module 1: 2-Level Mixed Models Review
  • Module 2: Basic growth models for examining longitudinal data
    • Exercises using lme in R
  • Module 3: Discontinuous growth models for more complex longitudinal data
    • Exercises using lme in R
  • Module 4: Bayes Estimates
    • Exercises using lme in R
  • Module 5:  Three-level models, emergence models, multilevel mediation, Multiple Imputation, and other extensions
    • Examples with MICE
    • Examples with mediation package
  • Module 6: Dichotomous Outcomes; Generalized Linear Mixed-Effects Models
    • Exercises using glmer (lme4) in R

Required Software: R (download here), RStudio (download here)


To register for 2020 CARMA Live Online 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, select “Purchase Short Course” on the right side of the page.

Pricing Dates * CARMA
Member **
Prof. Assosication Member
1 Course 2 Courses *** 1 Course 2 Courses *** 1 Course 2 Courses ***
Advanced Registration
03/19/2020 – 06/01/20
Faculty $425 $750 $850 $1,600 $680 $1,260
Advanced Registration
03/19/2020 – 06/01/20
Student $325 $550 $650 $1,200 $520 $940
Normal Registration
06/02/20 – 07/01/20
Faculty $475 $850 $950 $1,800 $760 $1,420
Normal Registration
06/02/20 – 07/01/20
Student $375 $650 $750 $1,400 $600 $1,100

* – To receive these prices, you must complete your registration during the dates specified.

** – These prices reflect a 50% discount that you receive if you are student/faculty at an organization that is a member of the CARMA Institutional Premium Membership OR the CARMA Institutional Basic Membership Program.

*** – These prices reflect a discount in which you register for 2 courses and receive $100 off.

****–These prices reflect a 20% discount for members of following associations; Academy of Management (AOM), Southern Management Association (SMA), Society for Industrial and Organizational Psychology (SIOP), Asia AOM (AAOM), International Association for Chinese Management Research (IACMR), European Academy of Management (EURAM), European Association of Work and Organizational Psychology (EAWOP), Academy of International of Business (AIB), Australia and New Zealand Academy of Management (ANZAM), and Indian Academy of Management (INDAM). This discount can not be applied if you are also using CARMA membership discount.

If you are a member of AOM, SIOP, SMA, AAOM, IACMR, EURAM, EAWOP, AIB, ANZAM, and INDAM, you can use one of the following discount codes when registering for these short courses:

Faculty Code: e9db-0a95
Student Code: deb2-0fc5

Note that we will be verifying association membership for all those who use these discount codes. Anyone who uses one of these discount codes and is not a member of those associations will be required to pay the non member rate.
If your organization is not yet a member but would like to become one, please contact us directly at

All participants are eligible for the following discount:
Register for both sessions, receive $100 off the total price.

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.