Three Days Faculty Development Programme

Topics: Factor analysis, Management, Structural equation modeling Pages: 4 (641 words) Published: July 3, 2013
THREE DAYS FACULTY DEVELOPMENT PROGRAMME (FDP)
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ABOUT SOCIETY FOR MANAGEMENT LEARNING
Society for Management Learning (SML) is a recognized student organization of Lovely Professional University which is established by a group of dynamic business management students and scholars with an aim to elevate the understanding of practical implementation of management education. This society is committed to provide innovative learning techniques for management professionals.

ABOUT RESOURCE PERSON
Dr. Neeraj Kaushik is currently working as Associate Professor in Department of Management Studies, TIT&S Bhiwani, Haryana (India). He has conducted around 30 workshops on Research Methodology with SPSS applications and about 12 workshops on Management Games & Team Building. Currently, he is visiting faculty to Indian Institute of Management, Rohtak and Guest Faculty in Indian Institute of Management, Lucknow (Noida Campus). Dr. Kaushik has attended various International & National Conferences and presented the papers therein. He is also associated with different Universities/Academic institutions and Professional Bodies in various capacities. He has to his credit 44 articles published in Indian Journals and 10 International Conferences.

“STRUCTURAL EQUATION MODELING”
24th – 26th JUNE, 2013

ABOUT STRUCTURAL EQUATION MODELING
Structural Equation Modeling (SEM) enables us to examine series of dependent independent relationships simultaneously. SEM is particularly useful in testing theory that contains multiple equations involving ‘complex’ relationships between observed (measured) and unobserved (latent) variables and also relationships between two or more latent variables with the help of software i.e. AMOS. The pedagogy to be used in FDP would include discussion based on case study, practical demonstrations and hands-onexperience.

SCHEDULE FOR FDP
 Exploratory Factor Analysis.  Handshake with AMOS.  Multiple Regression using Path Analysis.    ...
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