Covariance-Based Structural Equation Modeling (CB-SEM) Using AMOS

Three Days Faculty Development Program on

Covariance-Based Structural Equation Modeling (CB-SEM) Using AMOS

CFA, Structural Modeling, Common Method Bias Testing, and Bifactor Approaches

26 -28 February 2026 | 2:30 – 5:30 PM (IST)

This FDP focuses on Covariance-Based Structural Equation Modeling (CB-SEM) using AMOS, with emphasis on theory-driven model testing. Participants will gain hands-on exposure to Confirmatory Factor Analysis, structural modeling, common method bias assessment, and advanced bifactor SEM techniques aligned with high-quality empirical research and journal publication standards.

Key Learning Concepts

• Theory-driven CB-SEM modeling using AMOS

• Measurement validation through CFA and model fit assessment

• Structural model estimation and hypothesis testing

• Common method bias diagnostics

• Conceptual overview of Bi-factor SEM, Exploratory SEM, Bi-factor ESEM

Total Duration: 9 Hours
Format: 3 Days | 3 Hours per Day
Software: AMOS (SPSS-AMOS)

Day 1: Measurement Models & Confirmatory Factor Analysis (CFA)

• Conceptual foundations of CB-SEM and latent variable modeling

• CB-SEM vs PLS-SEM: methodological positioning and use-cases

• Reflective measurement models and construct specification

• Confirmatory Factor Analysis (CFA) using AMOS

• Model identification, estimation, and goodness-of-fit indices

• Reliability and validity assessment (CR, AVE, discriminant validity)

• Reporting CFA results for high-quality journal publications

Day 2: Structural Models & Common Method Bias (CMB)

• Structural Equation Modeling within the CB-SEM framework

• Path specification, hypothesis testing, and effect decomposition

• Direct, indirect, and total effects in SEM

• Model respecification: theory-driven modification indices

• Sources and implications of Common Method Bias (CMB)

• CMB testing approaches in CB-SEM (Multiple CFA, Unmeasured Method factor)

• Best practices for SEM result interpretation and reporting

Day 3: Advanced CB-SEM Extensions – Bifactor Modeling

• Conceptual overview of advanced CB-SEM extensions

• Introduction to bifactor models: rationale and applications

• Bifactor SEM vs second-order factor models

• Interpreting general and specific latent factors

• Practical guidance on applying bifactor SEM and ESEM in empirical research

• Publication-oriented insights and common pitfalls

Who can Attend the FDP

• Faculty Members

• Doctoral (PhD) Scholars

• Post-Doctoral Fellows

• Research Associates

Resource Person

DR. P. MURUGAN

SCHOOL OF MANAGEMENT STUDIES, UNIVERSITY OF HYDERABAD

How to Register & Pay Fee

Indians: INR 1150:

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Internationals: USD 20 :

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