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Structural Equation Modelling

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Dates: May 8 -10, 2023
Programme Director: Prof. Sumeet Kaur
Mode: Online Mode

Structural Equation Modelling


Programme Introduction

Structural equation modeling (SEM), is a powerful statistical tool that combines factor analysis and regression analysis to explain the relationship between variables. Whenever the researcher is interested in testing a particular theory, SEM helps in building and testing statistical models. This type of analysis is desirable because researchers often hypothesize that a given outcome of interest is influenced by more than one variable. There are many statistical techniques for conducting multivariate analysis, and SEM is one of the most appropriate technique for a given study.

Programme Objectives

The purpose of this FDP is to provide participants hands on experience with tools to gain a better understanding of the available techniques for data analysis. This program also aims to provide hands-on training on SPSS, AMOS. SMART PLS software for analysing the data and interpreting outcomes of various analyses.

Programme Contents

  • Introduction to Structural Equation Modelling (SEM)
  • Introduction to the software’s AMOS and SPSS, SMART PLS
  • Testing of Statistical assumptions
  • Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), common method bias (CMB) test, ,
  • Measurement Model Assessment, Discussing Fit Indices
  • Reliability and Validity Testing
  • Structural Model Assessment identifying multivariate outlier,
  • Construct Validity: Convergent and Discriminant Validity
  • Measurement Model & Structural Equation Modelling
  • Mediation and Moderation Effects
  • Multi-Group Analysis.


Programme Methodology

Typically, participants will get 75% input in lab session and 25% input through class discussion and demonstration of the tool.

Who Should Attend

All those who deal with data analysis will benefit most from this program and so, this program will be useful to:

  • Academicians, Researchers
  • Business Analysts / Managers at various decision making levels
  • Executives handling Business Analytics &/or Research
  • Management Students & Research Scholars


Professional Fee of the Program

Particulars Fee for Online
Faculty Members INR 2360
Student/Research Scholars INR 1180
Corporate Executives INR 4720

GST @18% included in fee amount, as applicable

Program Dates and Timing

Dates : May 8 -10, 2023 (10AM-12PM & 12:30PM - 2:30PM on each day)


After completion of the faculty development program an e-certificate will be provided to participants.


Program Director

Prof. Sumeet Kaur

Associate Professor,
PhD, Saurashtra University
M.Phil (Statistics); M.Sc (Statistics, triple Gold medalist); B.Sc (Statistics) - Gujarat University

She has over 17 years' research and teaching experience. She has conducted Management Development Programs on topics like applications of qualitative techniques in competence mapping, simulation techniques and assignment problems, operations excellence, supply chain management, advanced excel techniques for managers of public and private sector. She has organized workshops on Decision Sciences and its management applications like business research methods. She has also conducted Faculty Development Program on topics like SPSS and Research Methods, Multivariate Data Analysis, Machine Learning and Analytics using R. She has also been involved in case development with Maruti True Value, Blind People Association, Indraprastha Apollo Hospitals which are published in European Case Clearing House (ECCH). She has research and consulting interests in Reliability and Life testing, Business Forecasting, Managerial Decision Making, Quantitative Techniques in Advanced Marketing Research, etc. She teaches courses on Business Statistics, Business Analytics, Multivariate Data Analysis and Advance Business Statistics in Big Data associated with University of California, Riverside.


About Fore School of Management

FORE School of Management, New Delhi is a leading business school in India. The institute offers the following programs: PGDM, PGDM (IB), PGDM (Financial Management), PGDM (Big Data Analytics), PGDM (Executive) and Fellow Program in Management (FPM).

The programs are approved by the All India Council for Technical Education. The PGDM and PGDM (IB) programs at FORE are accredited by National Board of Accreditation (NBA) and are equivalent to MBA as granted by Association of Indian Universities (AIU).

FORE School of Management has also been granted SAQS Accreditation for a period of five years with effect from December 2017. FORE School of Management has institutional memberships of India Habitat Centre, New Delhi; Asian Regional Training and Development Organization (ARTDO) International, Philippines; Association of Indian Management Schools (AIMS), Hyderabad; National HRD Network (Delhi Chapter); Associated Chambers of Commerce and Industry of India (ASSOCHAM), New Delhi; BRICS Chamber of Commerce & Industry, New Delhi; National Science Library: National Institute of Science Communication and Information Resources (NISCAIR), New Delhi; American Center Library, New Delhi; The Case Centre, England; and, the United Nations Global Compact Network India, among others.

FORE School of Management also has academic partnerships with leading institutions including the following: Rennes School of Business, France; ESCE International Business School, Paris, France; Vietnam National University, HCM; University of Law and Economics, Vietnam; Kathmandu University School of Management, Kathmandu, Nepal; University of California, Riverside (IEP), USA; University of Economics, Ho Chi Minh City, Vietnam; Nanyang Business School, Nanyang Technological University, Singapore; School of Business and Economics, Linnaeus University, Sweden; European Institute for Asian Studies, Luxemburg; and, Risk Management Institute, National University of Singapore


How to Apply

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