Asia Short Courses July 6-10, 2020 – One Session, Four Course Options
Complete Course Listing
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.
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)
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)
The purpose of this workshop is to introduce researchers to the underlying tenets of the grounded theory approach and to aid them in designing and conducting a grounded theory study. In the course, we will cover the following three major topics: (a) Understanding the approach and different methodological traditions, (b) designing a grounded theory study, (i.e., data collection methods, purposive sampling, gaining access, sources, triangulation), and (c) analyzing data following the grounded theory method (i.e., different approaches to coding, constant comparison, memoing, triangulation, theoretical saturation, etc.). Furthermore, the workshop will provide specific examples of practical challenges and strategies to manage them. No software is necessary for this course. Participants are invited to bring samples of their own data to the course.
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*These times are in India Local Time
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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.
* – 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 for the second course.
****–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, New Zealand Academy of Management (ANZAM), Indian Academy of Management (INDAM), Midwest Academy of Management (MAM), and Iberoamerican Academy of Management (IAOM). 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, INDAM, MAM, and IAOM, you can use one of the following discount codes when registering for these short courses:
Faculty Code: 3fcb-81b0
Student Code: 24a7-18ea
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 email@example.com.
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.