Workshop@ BIT, MESRA
Birla Institute of Technology, Mesra, Ranchi (Deemed University) is a pioneering institution in the area of technical education and research. BIT has 10 campuses across India and Middle
East with over 15,000 students. It is one of the premier academic Institutions with repute of academic excellence for over 55 years in the field of Engineering Technology, Hotel Management, Bio-Technology, Space & Rocketry, Pharmacy and Management. Having felt the urgent need of a centre for diversified and advanced educational research, consultancy and training of human resources in IT and Management technology in the Northern Zone, BIT Mesra in the year 1998, has established one of its extension centres at NOIDA. BIT Noida Management department offers 2yrs MBA Full time, 3yrs MBA Part time, 5yrs Integrated Masters in Business Administration Programme & 5yrs Integrated Masters in Business Economics Programme. The curricula of all the credit based flexible programmes are carefully reviewed, updated, upgraded, diversified and in pace with the needs of the industrial scenario of this country, with the help of BIT main campus.
About the Workshop:
The two day workshop will provide hands on experience along with concrete theoretical foundation to participants in advanced multivariate statistical techniques. Structural Equation Models, also called simultaneous equation models, refer to multi equation systems that include continuous latent variables each representing a concept or construct, multiple indicators of a concept or construct that may be continuous, ordinal, dichotomous or censored, errors of measurement and errors in equations. One may also view it as an interrelated system of regression equations where some of the variables (latent or observable) have multiple indicators and where measurement error is taken into account when estimating relationships. From a different point of view, these are factor analysis models in which factor loadings are restricted to zero or some other constants, and the researcher allows factors to influence each other, directly and indirectly. The most general form of the structural equation model includes Analysis of Variance, Analysis of Covariance, Multiple Linear Regression, Multivariate Multiple Regression, Recursive and Non-recursive Simultaneous Equations, Path Analysis, Confirmatory Factor Analysis and many other procedures as special cases. So, the term “Structural Equation Model” (SEM) refers to a comprehensive statistical methodology for testing and estimating causal relations using a combination of cross-sectional statistical data and qualitative causal assumptions. Unlike the usual multivariate linear regression model, the response variable in one regression equation in a structural equation model may appear as a predictor in another equation. Indeed, variables in a structural equation model may influence one-another reciprocally, either directly or through other
Topics to be covered:
Exploratory Factor Analysis, Regression Analysis, Graphical Models, Confirmatory Factor
Analysis, Structural Models
Theoretical inputs, Tutorial on LISREL, Discussion of SPSS and LISREL Outputs for the topics
included in the workshop.
December 07, 2012 (Friday)
0900-0945 Multivariate Analysis: An Overview
1000-1115 Factor Analysis
1130-1245 Discussion of SPSS Output for Factor Analysis 1400-1500 Regression Analysis
1515-1615 Discussion of SPSS Output for Regression Analysis
1630-1715 Graphical Models
December 08, 2012 (Saturday)
0900-1015 SEM: Theoretical Background
Tutorial on LISREL
1030-1145 Measurement Model: Confirmatory Factor Analysis (CFA)
Discussion of LISREL Output for CFA
1200-1315 Structural Models with Observable Constructs
Discussion of LISREL Output
1400-1530 Structural Models with Latent Variables
Discussion of LISREL Output
1545-1630 Applications and Discussion
Who can participate:
1. Corporate Executives-Market Researchers, Business Analysts, Research Analysts,
Business intelligence professionals.
2. Faculty Members in the areas of Management, Computer Science, Information
Technology, Commerce, sociology, Psychology & other allied disciplines who wish to
publish their research papers in scholarly journals of international repute.
3. Research Scholars actively pursuing research in the field of business, management and
other relevant areas of Social Sciences, consumer behaviour etc.
Prerequisites for participation:
1. Prior Knowledge of basic statistical techniques (Univariate & Bivariate)
2. Requested to carry personal Laptop/Netbook.
The fee will include Workshop kit, Course Material, Lunch, Tea & Certificate of Participation.
S.No. Category Fee
1 Industry Professionals Rs. 3500/-
2 Academicians Rs. 3000/-
3 Research Scholars Rs. 2000/-
4 Students Rs. 700/-
Registration will be done on “first come first served” basis. As seats are limited, to avoid
disappointment, early registration is recommended. Payment by DD drawn in favour of “Birla
Institute of Technology”, payable at Noida may please be sent to The Workshop Coordinator,
Birla Institute of Technology, A-7, Sector-1, Noida-201301 (U.P.).
Last date for Registration: 15th
November 2012 by 5.30pm.
Spot Registration will be accepted subject to availability of seats with a late fee of Rs.500/- Workshop Committee
Cdr. Balwant Sharma
Director, BIT EC NOIDA
Coordinator: Vandna Sharma, MBA, Ph D
Incharge-Department of Management, BIT EC NOIDA
Co-Coordinator: Charu Wahi, M.Tech (CS)
Department of Computer Science, BIT EC NOIDA
Address for Communication:
Birla Institute of Technology,
A-7, Sec-1, Noida -201301 (U.P.)
Email: vandna_sh, vandnash,
Ph.: +91- 9811200202, 9811449466