Applied Structural Equation Modeling (SEM) Course

Name: Applied Structural Equation Modeling (SEM) Course
Availability: InStock

Specify, estimate, evaluate, compare, and report latent-variable models through a defensible research workflow.

At a glance

Duration: 5 days
Format: Classroom
Cities: Phuket, Kuala Lumpur, Istanbul, Abu Dhabi, Chicago, Amsterdam and more
Next session: 11 – 15 October 2026, Phuket
Average fee: 5,800 €

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Applied Structural Equation Modeling (SEM) Course

Overview

Applied Structural Equation Modeling (SEM) Course is a five-day intermediate course for researchers, analysts, statisticians, doctoral candidates, evaluation specialists, and market researchers who leave with an SEM Analysis and Reporting Pack. Participants translate theory into path diagrams, test measurement models with confirmatory factor analysis, estimate structural relationships, evaluate fit, validity, mediation, moderation, and group differences, and document defensible interpretations. Agile Leaders Training Center connects SEM decisions with reproducible research evidence.

Who Should Attend

Teams responsible for quantitative research design and latent-variable analysis
Functions that develop or validate scales and measurement models
Personnel who test mediation, moderation, and theoretical relationships
Researchers who compare constructs and paths across groups
Reviewers who assess model fit, validity, and reporting quality

The course assumes working knowledge of regression, correlation, factor analysis, and research measurement, and it leaves out introductory statistics, software certification, and advanced multilevel or mixture models.

Departments and Industries

The course supports departments that analyze relationships among measured and latent constructs.

Academic research, education, psychology, and social sciences
Market research, customer insight, and behavioral analytics
Health research, program evaluation, and public policy
Human resources, organizational research, and workforce analytics
Data analytics, research methods, and quality assurance

Learning Objectives

By the end of this course, participants will be able to:

Build theory-led path diagrams and SEM specifications
Analyze identification, data quality, and estimation choices
Evaluate confirmatory factor analysis and construct validity
Apply fit assessment, diagnostics, and justified respecification
Compare mediation, moderation, and multi-group models
Build a reproducible SEM interpretation and reporting record

Course Agenda

Day 1: SEM Logic and Model Specification

Observed and Latent Variable Concept Map
Path Diagram Notation and Parameter Inventory
Measurement and Structural Model Decomposition
Model Specification and Theory-to-Equation Worksheet
Degrees of Freedom and Identification Checklist

Day 2: Measurement Models and CFA

Indicator Selection and Measurement Error Map
Confirmatory Factor Analysis Specification Workflow
Factor Loading and Residual Review Table
Reliability, Convergent Validity, and Discriminant Validity Matrix
Alternative Measurement Model Comparison Plan

Day 3: Estimation, Fit, and Diagnostics

Data Screening, Missingness, and Distribution Checklist
Estimator Selection and Assumption Decision Tree
Global and Local Model Fit Evidence Dashboard
Residual, Modification Index, and Influence Diagnostic Log
Theory-Constrained Model Respecification Record

Day 4: Structural Effects and Group Comparison

Direct, Indirect, and Total Effect Decomposition
Mediation Model and Bootstrap Evidence Plan
Moderation and Interaction Specification Matrix
Multi-Group Model and Measurement Invariance Sequence
Competing Structural Model Comparison Table

Day 5: SEM Practice and Capstone

Exercise: Translate a Theory into an Identified SEM
Exercise: Evaluate a Confirmatory Factor Model
Exercise: Diagnose Fit and Respecify with Evidence
Exercise: Interpret Mediation and Multi-Group Results
Capstone Exercise: SEM Analysis and Reporting Pack

Practical Exercises

The course uses suggested activities to connect statistical output with defensible research decisions.

Suggested activity: draw a path model, classify variables and parameters, and test identification before estimation.
Suggested activity: evaluate loadings, residuals, reliability, convergent validity, discriminant validity, and model alternatives.
Suggested activity: review fit evidence, diagnostics, theory constraints, indirect effects, and group comparisons.
Suggested activity: assemble a reproducible record of specifications, decisions, results, limitations, and interpretations.

FAQs

Who suits the Applied Structural Equation Modeling (SEM) Course?

It suits researchers and analysts who test latent constructs and theoretical relationships, and assumes working knowledge of regression, correlation, factor analysis, and measurement.

How does structural equation modeling differ from ordinary regression?

SEM can represent measurement error, latent variables, multiple linked equations, indirect effects, and simultaneous tests of measurement and structural relationships.

What is confirmatory factor analysis in SEM?

Confirmatory factor analysis tests a theory-specified relationship between latent constructs and observed indicators before structural paths are interpreted.

How is SEM model fit evaluated?

Model fit is evaluated through multiple global and local evidence sources, residual patterns, parameter plausibility, assumptions, competing models, and alignment with the research theory.

When is multi-group SEM used?

Multi-group SEM is used to assess whether measurement properties or structural relationships are comparable across defined populations after a defensible invariance sequence.

Conclusion

Participants take back an SEM Analysis and Reporting Pack containing the path diagram, specification, identification check, measurement evidence, fit review, diagnostics, effect interpretation, group comparison, and reporting record. The pack makes analytical choices and limitations traceable. It supports reproducible interpretation without replacing subject-matter theory or statistical judgment.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Porto	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€5,700
Kuala Lumpur	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€5,200
Abu Dhabi	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€4,700
Casablanca	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€4,100
Nice	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€5,700
Bangkok	Week 34, 2027 29 August – 2 September 2027	5 Days	Onsite	€6,000
Johannesburg	Week 35, 2027 5 – 9 September 2027	5 Days	Onsite	€4,500
London	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Dubai	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€4,500
Amman	Week 37, 2027 19 – 23 September 2027	5 Days	Onsite	€4,100
Nairobi	Week 37, 2027 19 – 23 September 2027	5 Days	Onsite	€4,500
Tbilisi	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€5,000
Zoom	Week 40, 2027 4 – 8 October 2027	5 Days	Online	€1,500
Milan	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewApplied Structural Equation Modeling (SEM) Course is a five-day intermediate course for researchers, analysts, statisticians, doctoral candidates, evaluation specialists, and market researchers who leave with an SEM Analysis and Reporting Pack. Participants translate theory into path diagrams, test measurement models with confirmatory factor analy…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Applied Structural Equation Modeling (SEM) Course