From Data to Deep Insights: Advanced Analytics for Management Research Hands-on Applications using SPSS, AMOS, and SmartPLS

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Programme Introduction

Structural Equation Modelling (SEM) is a powerful multivariate analytical approach that enables researchers to examine complex relationships among observed and latent variables. By integrating measurement assessment with the examination of structural relationships, SEM is particularly useful for theory testing, model building and the simultaneous analysis of multiple relationships. As contemporary research increasingly addresses complex phenomena, researchers require both conceptual clarity and practical competence in selecting, estimating, validating and interpreting SEM models.

This three-day online Faculty Development Programme is designed as a hands-on and experiential learning programme for researchers, faculty and academicians. The FDP provides guided exposure to SPSS, AMOS and SmartPLS and develops participants' ability to move systematically from research questions and data preparation to measurement model assessment, structural model testing and advanced SEM applications. Using practical exercises and research-oriented datasets, participants will learn to build, test, refine and interpret SEM models and translate analytical outputs into meaningful and publication-oriented research insights.

Programme Objectives

• Develop a strong conceptual foundation in Structural Equation Modelling and its role in theory-driven research.
• Provide hands-on experience in using SPSS, AMOS and SmartPLS for SEM-related data analysis and model evaluation.
• Enable participants to assess measurement models through reliability, validity, factor analysis and model fit indices.
• Build competence in testing and interpreting structural relationships, mediation, moderation and multi-group analysis.
• Strengthen participants' ability to report and interpret SEM results for high-quality research and publication.

Programme Methodology

The FDP will follow a hands-on and experiential approach, combining conceptual inputs, live software demonstrations and guided practice using research-oriented datasets. Participants will work with SPSS, AMOS and SmartPLS to understand the complete SEM process. The programme will emphasize learning by doing, model interpretation, discussion of analytical decisions and translation of software outputs into meaningful research findings.

Programme Contents (Day-wise)

Day 1: Foundations and Measurement Model

Session 1: Introduction to SEM

·  SEM concepts and applications

·  Model specification

·  Overview of AMOS, SPSS and SmartPLS

Session 2: Data Preparation and Assumption Testing

·  Data screening and cleaning

·  Handling missing data and outliers

·  Testing statistical assumptions

Session 3: Exploratory Factor Analysis (EFA)

·  EFA using SPSS

·  Reliability and validity testing

·  Common Method Bias (CMB) test

Session 4: Confirmatory Factor Analysis (CFA)

·  CFA using AMOS/SmartPLS

·  Measurement model assessment

·  Model fit indices

Day 2: Structural Model and Model Extensions

Session 1: Structural Model Assessment

·  Path analysis and model estimation

·  Evaluating model fit

·  Identifying multivariate outliers

Session 2: Construct Validity

·  Convergent validity

·  Discriminant validity

·  Reliability and overall model assessment

Session 3: Mediation Analysis

·  Concept and types of mediation

·  Testing mediation effects using AMOS/SmartPLS

·  Interpretation of mediation results

Session 4: Moderation Analysis

·  Concept and types of moderation

·  Testing moderation effects

·  Interaction terms and interpretation

Day 3: Advanced Analysis and Research Applications

Session 1: Multi-Group Analysis

·  Measurement invariance

·  Comparing groups

·  Practical applications

Session 2: Model Refinement and Reporting

·  Modifying the model

·  Improving model fit

·  Reporting results, tables and figures

Session 3: Advanced Topics in SEM

·  Higher-order constructs

·  Formative versus reflective models

·  Recent developments in SEM and PLS-SEM

Session 4: Case Discussion and Hands-on Practice

·  End-to-end model building

·  Interpretation and managerial implications

·  Q&A and final project discussion

Who Should Attend

This FDP is designed for:

·   Academicians

·  Researchers

·  Faculty Members

·  Doctoral Scholars

·  Management Students and Research Scholars

Certification

Certificate will be provided to all participants upon successful completion of the Faculty Development Programme.

Programme Fee (Inclusive of 18% GST)

Particulars	Amount (Rs.)
Students / Research Scholars	Rs 1,180
Faculty Members	Rs 2,360
Corporate	Rs 4,720

 

Programme Director's Details

Prof. Sumeet Kaur
Professor, Operations and Supply Chain Management Area
FORE School of Management, New Delhi

Prof. Sumeet Kaur has over 22 years of research and teaching experience. Her research interests include quantitative techniques, reliability and life testing, business forecasting and managerial decision-making. She has conducted and contributed to programmes and workshops on SPSS, research methods, multivariate data analysis, machine learning and analytics, quantitative techniques, operations excellence and supply chain management.

Prof. Shubhangini Rajput
Assistant Professor, Operations and Supply Chain Management Area
FORE School of Management, New Delhi
Prof. Shubhangini Rajput brings expertise in quantitative research and analytical approaches to contemporary management problems. Her academic work spans operations and supply chain management, with research interests in data-driven decision-making, sustainable and circular supply chains, and analytical approaches to contemporary management challenges.

For more information, please get in touch with Mr. Puneet Garg: +91-98108 75278 | +91-11-41242477 or email us at exed@fsm.ac.in

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