CHRIST CUx

Skills

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

Learning 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

Course Instructor

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

Model Modification, Reporting, and Publication Readiness

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Sania Fathima

MBA

“The course provided useful knowledge and insights related to the subject. The content was informative and relevant, and it helped me gain a better understanding of the concepts covered.”

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Kaushik Vallioor Sankaran

MBA

“I thoroughly enjoyed the Micro Credential course. It was direct and very informative.”

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Adrija Roy

MBA

“The modules were structured in a simple and accessible way, making the concepts easy to understand even without prior knowledge of the topic. The workbooks provided valuable hands-on practice, and the course was an enriching learning experience that helped me build practical skills and confidence.”

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Xavier Amith J

MCA

“The hands-on demonstrations and coding sessions were my favourite part. Overall, it was a valuable learning experience that helped me learn beyond the classroom, explore a new area, and become more curious about what AI can do.”

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M A Lekshmi Narayanan

BCom

“It was interesting to learn about a new topic which was predominant in the world. The videos were short and kept me engaged throughout the course.”

Structural Equation Modelling using AMOS

Overview

Credentials and Certification

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

Course Menu

COURSE DELIVERY