About the Workshop:
The workshop was held on July 22-25, 2021 via online medium (through Zoom).
Focus of the Workshop:
Structural Equation Modeling (SEM) is a statistical methodology that is widely used in social sciences research (especially marketing, organizational behavior, human resource management, psychology, behavioral finance and behavioral economics). SEM was introduced in 1970s and combines psychometrics with econometrics. On the psychometric side, SEM allows for latent variables with multiple indicators. On the econometric side, SEM allows for multiple equations, possibly with feedback loops. SEM models are so general that they encompass most of the statistical methods that are currently used in the social and behavioral sciences. SEM allows a researcher to test complex models with multiple pathways, model latent variables with multiple indicators, investigate mediation and moderation in a systematic way and adjust for measurement error in predictor variables. This workshop shall provide the participants a general introduction to SEM. The workshop will be based on a combination of theoretical and practice-oriented sessions that will provide working knowledge of AMOS, a statistical software.
- Latent variable models and classical test theory
- Confirmatory factor analysis
- Maximum likelihood estimation
- Goodness of fit measures
- Modification indices and correlated errors
- The general structural equation model
- Linear regression in SEM
- Constructing and interpreting path diagrams
- Direct and indirect effects
- Bootstrapping indirect effects
- Moderation testing in SEM
- Multi-sample analysis
- Hands-on practice on AMOS using real-life data
Upon the completion of this course, the participants would:
1. Understand analysis techniques like confirmatory factor analysis, path analysis and structural equation modeling (SEM).
2. Understand concepts like mediation and moderation testing used in the design and conduct of management research.
3. Get hands-on training on SPSS and AMOS.
Who should attend and prerequisites?
This workshop is designed for researchers working in social sciences (OB, HRM, Marketing, Strategy, Communication, etc.) who want to apply SEM methods in their own research projects. No previous background in SEM is necessary. But participants should have a good working knowledge of basic principles of statistical inference (e.g., standard errors, hypothesis tests, confidence intervals), and should also have a good understanding of the basic theory and practice of linear regression.
The empirical examples and exercises in this course will emphasize use of AMOS. Participants will be expected have their laptops loaded with AMOS and SPSS.
Registration is now closed!
About the Workshop Coordinator (Prof. Vishal Gupta):
Vishal Gupta is an Associate Professor in the Organizational Behavior Area at the Indian Institute of Management Ahmedabad, India. He obtained his doctorate in Human Resource Management from the Indian Institute of Management Lucknow, India, in 2013. His PhD thesis on ‘Leadership in Public Sector R&D Organizations’ was awarded the ‘Outstanding Doctoral Dissertation’ award in the year 2013-14 in Leadership & Organizational Development category by European Federation for Management Development and the Emerald Group Publishing. He was recognized as an ‘Emerging Psychologist’ by the National Academy of Psychology, India in 2014. In 2016, he was conferred the ‘Young Scientist Award’ by the National Academy of Sciences India and Scopus (Elsevier). His webpage is: www.iima.ac.in/~vishal
Dr. Manish Panchasara