RDP on Factor Analysis and Structural Equation Modeling in Social Science Research

Objectives
The Research Development Program (RDP) on Factor Analysis and Structural Equation Modeling is designed to enhance participants’ capabilities by strengthening their understanding of fundamental research principles and developing relevant analytical skills essential in today’s data-driven world. 

 
Coverage
Linear Regression and Multivariate Regression
Exploratory Factor Analysis (EFA) 
Confirmatory Factor Analysis (CFA)
First Order and Second Order Structural Equation Modeling 
Multi-Group Analysis 
Mediation and Moderation Analyses 

 
Program Highlights
Comprehensive Analysis & Training: This training comprehensively covers data analysis with the estimation of different models. 
 
Hands-on Training: Gain valuable experience through hands-on and practical sessions to learn how to apply real-world data and scenarios. 
 
Customization: The learnings can be tailored to your research interest or area of work.  
 
Expert Resource Persons: Sessions are delivered by expert resource persons who are seasoned researchers. Interact directly with the instructors for individualized guidance.  
 
Networking Opportunities: Get an opportunity to network with a large number of researchers and academicians leading to new thoughts, ideas and collaborations. 
 
Skill Development: The program is designed to help participants to upskill their technical, statistical and analytical skills of research to build capabilities to take up high quality research.  

Pedagogy
Conceptual Delivery: Expert Resource Persons will discuss the basic concepts, assumptions and methods through lecturing to understand the basics of factor analysis and SEM and their applications to your chosen area. 
 
Statistical Tools Used Analysis: Analyse data using effective and user-friendly open-access statistical tool. Get introduced to the live and hands-on usage of the tool. 
 
Demonstrations: The Resource Persons demonstrate different estimation methods to be used depending on the nature of data sets, how to analyze after checking the assumptions and diagnostics. 
 
Practical Learning: Learn with hands-on exercises anchored by Resource Persons.  
 
Data-Driven Case Studies: Data from real-world cases are employed to explore the nature of relationships and suggest the way forward.  

Who can attend?
Faculty, Research Scholars & others interested in academic research. 
 
The program is specially designed to apply for research in social science domains such as management, economics, commerce, sociology, development studies, political science, social works, anthropology, law etc. 

Resource Persons
The resource persons of the program are highly acclaimed academic researchers with a large number of publications in highly rated journals indexed in Scopus, ABDC and Web of Science. They have rich experience in running many research workshops/trainings with a focus on application to real-world scenarios. 

Dr. Venkatraja B
Associate Professor - Economics
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Dr. Srilakshminarayana.G
Associate Professor - Quantitative Methods
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Dr. M. Sriram
Associate Professor - Finance
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Registration Fees 

Faculty: INR 3000/-
Research Scholar: INR 2000/-

The registration fees include a kit, working lunch and tea.  

CLICK HERE FOR REGISTRATION
OR 
Scan QR code to Register
  


TA, DA and accommodation are not provided.  Outstation participants have to make their own travel and accommodation. However, we assist you with a list recommended list of hotels. Hotel details are available in the given link.

Click here for Accommodation Information

Participation Certificate will be issued.


Photo Gallery – Glimpses of Previous RDPs
 

Photo Gallery of RDP March 2023 | Photo Gallery of RDP July 2023 | Photo Gallery of RDP September 2023


Contacts

Dr. B.Venkatraja
RDP Convenor 
SDM Institute for Management Development, Mysuru
Email: rdp@sdmimd.ac.in | Mobile: 9480342652

Prof. Venkatesh Goudar
RDP Coordinator & Research Associate
SDM Institute for Management Development, Mysuru
Email: rdp@sdmimd.ac.in | Mobile : 9606575156