Why CB-SEM Continues to Dominate High-Impact Research ?

Why Mastering CB-SEM Using AMOS Is a Career-Defining Skill for Researchers and Academics

In today’s publish-or-perish academic ecosystem, the difference between an average manuscript and a top-tier journal publication often lies in the rigour of the research methodology. Among advanced quantitative techniques, Covariance-Based Structural Equation Modeling (CB-SEM) has emerged as a gold standard for theory testing, construct validation, and causal modelling—particularly in management, social sciences, psychology, and interdisciplinary research.

For researchers aiming to publish in ABDC-listed, SSCI, SCIE, and FT-50 journals, mastering CB-SEM using AMOS is no longer optional—it is a career-critical capability.

This article explains why CB-SEM matters, how it strengthens academic careers and research impact, and how a structured, hands-on FDP can help you move from software execution to methodological confidence.

Why CB-SEM Continues to Dominate High-Impact Research

CB-SEM is designed for theory-driven research, where the objective is not just prediction but testing theoretically grounded relationships among latent constructs.

Leading journals consistently prefer CB-SEM when research focuses on:

• Theory confirmation and extension

• Measurement validation

• Hypothesis testing

• Mediation and indirect effects

• Model fit and explanatory adequacy

Unlike exploratory or purely prediction-oriented approaches, CB-SEM provides statistical evidence for theoretical claims, making it indispensable for doctoral research, post-doctoral work, and faculty publications.

AMOS: The Preferred Tool for Theory-Driven SEM

AMOS remains one of the most widely accepted tools for CB-SEM due to:

• Its graphical, intuitive interface

• Strong acceptance by journal reviewers and editors

• Robust handling of CFA, structural models, and advanced extensions

• Clear visualisation of latent variables and path structures

For researchers struggling with reviewer comments on measurement validity, model fit, or mediation logic, AMOS-based CB-SEM often provides the missing methodological clarity.

How CB-SEM Skills Accelerate Academic Career Growth

1. Stronger Journal Publications

Researchers trained in CB-SEM can:

• Defend construct validity with CFA

• Report model fit indices confidently

• Justify mediation and indirect effects

• Respond effectively to reviewer critiques

This significantly improves acceptance probability in A/A and SSCI journals*.

2. Faster PhD Completion

Doctoral scholars often face delays due to:

• Weak measurement models

• Confusion between PLS-SEM and CB-SEM

• Poor handling of common method bias

A structured CB-SEM approach reduces revisions, strengthens chapters, and improves examiner confidence.

3. Enhanced Teaching and Supervision Capability

Faculty members proficient in CB-SEM:

• Teach research methods with authority

• Supervise doctoral theses more effectively

• Contribute to FDPs, workshops, and funded projects

This directly supports academic leadership and promotion.

What This FDP Offers: From Theory to Publication Readiness

The Three-Day Faculty Development Programme on CB-SEM Using AMOS is designed to bridge the gap between conceptual understanding and applied research execution.

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

Participants will gain clarity on:

• Foundations of CB-SEM and latent variable modelling

• CB-SEM vs PLS-SEM: when and why

• Reflective construct specification

• CFA execution using AMOS

• Model identification and goodness-of-fit indices

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

• Reporting CFA results for high-quality journals

Career value: Strong measurement models that withstand reviewer scrutiny.

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

This session focuses on:

• Structural model specification and hypothesis testing

• Direct, indirect, and total effects

• Theory-driven model respecification

• Understanding sources of Common Method Bias

• CMB diagnostics using multiple CFA and unmeasured method factor approaches

• Best practices in interpreting and reporting SEM results

Career value: Ability to defend causal claims and address reviewer concerns on bias.

Day 3: Advanced CB-SEM Extensions – Bifactor Modeling

Advanced topics include:

• Rationale for bifactor models

• Bifactor SEM vs second-order factor models

• Interpreting general and specific latent factors

• Introduction to bifactor ESEM

• Common pitfalls and publication-oriented insights

Career value: Capability to publish methodologically sophisticated studies in top journals.

Learn from an Experienced Resource Person

The FDP is led by Dr. P. Murugan,
School of Management Studies, University of Hyderabad

Dr. P. Murugan is working as an Assistant Professor at the School of Management Studies, University of Hyderabad (UoH), Hyderabad. He has completed his PhD from Anna University, Chennai, and worked with IIM Shillong, Australian Council for Educational Research, New Delhi, and National Institute of Technology, Tiruchirappalli.

He received the University of Hyderabad's chancellor's award for his contributions to both teaching and research.

He has a passion for research, and he has been a resource for more than 290 workshops and FDP programs held at many universities and B-Schools in India.

His expertise lies in the areas of Multivariate Data Analysis Techniques, Mediation Analysis, Moderation Analysis, Structural Equation Modeling, and Item Response Theory. His papers have been published in SSCI, ABS, and ABDC-listed journals. He has developed online lecture videos for three of the courses offered through the SWAYAM platform.

Who Should Attend This FDP?

This programme is ideal for:

• Faculty Members seeking publication excellence

• PhD Scholars working on empirical theses

• Post-Doctoral Fellows aiming for top-tier journals

• Research Associates involved in advanced quantitative projects

Workshop Details

Programme: Covariance-Based Structural Equation Modeling (CB-SEM) Using AMOS
Dates: 26–28 February 2026
Time: 2:30 – 5:30 PM (IST)
Format: Online | Hands-on | Publication-oriented

Final Thought: Methodological Rigor Is Academic Capital

In contemporary academia, ideas gain impact only when supported by rigorous methods. CB-SEM using AMOS equips researchers with the analytical credibility, confidence, and clarity needed to publish, supervise, and lead.

If your goal is career growth, high-impact publications, and research excellence, this FDP is not just training—it is a strategic academic investment.