Structural Equation Modelling using AMOS

This micro-credential course introduces learners to SEM using AMOS, focusing on conceptual clarity, model building, validation, and interpretation of results.

Course Fee - ₹ 2000

Overview

Structural Equation Modelling (SEM) has become an indispensable analytical technique in commerce, management, and social science research. This 15-hour micro-credential course introduces learners to SEM using AMOS, focusing on conceptual clarity, model building, validation, and interpretation of results. The course bridges the gap between statistical theory and applied research, enabling participants to confidently design, test, and report SEM models suitable for high-quality academic publications.

START DATE

Jul 01 2026

END DATE

Nov 30 2026

Delivery Mode

Online

Duration

15 hours

Type

Theory

Course Fee

₹ 2000

Credentials and Certification

1 Credit
1 Digital Badge
1 Certificate

Course Category Micro-Credential (Advanced)

TARGET AUDIENCE CHRIST University students

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Digital Credential

indicating verified micro-credential completion.

RECOMMENDED FOR

AUDIENCE 01

Students exploring cloud computing

AUDIENCE 02

Professionals planning cloud projects

AUDIENCE 03

Faculty building digital deployment literacy

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Course Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Foundations of Structural Equation Modelling

Understand the concepts, assumptions, and applications of Structural Equation Modelling (SEM) and its role in advanced research and data analysis.

CORE KNOWLEDGE

Data Preparation for SEM

Prepare datasets by addressing missing values, outliers, normality, and multicollinearity to ensure reliable and accurate SEM analysis.

DATA PREPARATION

Measurement Model Validation

Develop and validate measurement models using Confirmatory Factor Analysis (CFA) in AMOS while assessing construct reliability and validity.

RESEARCH METHODS

Structural Model Evaluation

Estimate structural models, interpret path coefficients, and evaluate model fit using established SEM techniques and performance criteria.

ANALYTICAL SKILLS

Ethical Model Refinement

Apply model modification strategies responsibly by balancing theoretical justification, statistical evidence, and ethical research practices

RESPONSIBLE RESEARCH

Research Reporting with AMOS

Prepare professional SEM reports that meet academic and journal standards through accurate interpretation and effective presentation of findings.

PUBLICATION READINESS

ELIGIBILITY CRITERIA

PG Students/PhD Scholars/Faculty Members

Faculty In Charge

Expert guidance from acclaimed industry professional leaders.

Dr. Gowtham R

Assistant Professor

Dr. Gowtham R is an Assistant Professor of Commerce at Christ (Deemed to be University), Bangalore, with a PhD from SRM Institute. A nationally recognized researcher, he specializes in taxation, finance, and data science, has received multiple Best Paper Awards, delivered 200+ expert sessions, and inspires scholars through academic excellence.

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 1

Introduction to Structural Equation Modeling

Module 2

Data Screening for SEM

Module 3

Correlation, Covariance Assumptions in SEM

Module 4

Model Specification to Model Modification in SEM

Module 5

Measurement Model using AMOS

Module 6

Model Fit Indices and Measurement Validations

Module 7

Structural Model Estimation and Hypothesis Testing

Module 8

Structural Equation Modelling using AMOS

Overview

Credentials and Certification

COURSE DELIVERY

Digital Credential

Students exploring cloud computing

Professionals planning cloud projects

Faculty building digital deployment literacy

Course Menu

COURSE DELIVERY

Course Outcomes

Foundations of Structural Equation Modelling

Data Preparation for SEM

Measurement Model Validation

Structural Model Evaluation

Ethical Model Refinement

Research Reporting with AMOS

ELIGIBILITY CRITERIA

Faculty In Charge

Dr. Gowtham R

Assistant Professor

Academic Curriculum

Introduction to Structural Equation Modeling

Data Screening for SEM

Correlation, Covariance Assumptions in SEM

Model Specification to Model Modification in SEM

Measurement Model using AMOS

Model Fit Indices and Measurement Validations

Structural Model Estimation and Hypothesis Testing

Model Modification, Reporting, and Publication Readiness

Build skills that matter in the real world