KnowvateLive Training
Research MethodsIntermediate to Advanced

AMOS

Learn Structural Equation Modeling (SEM) using AMOS. Covers path analysis, CFA, model fit, mediation, moderation, and multi-group analysis.

6 WeeksLive Online ClassesProfessional Certificate
4.9(16)

About this course

AMOS (Analysis of Moment Structures) is the leading software for Structural Equation Modeling, widely used in academic research across business, psychology, education, and the social sciences. This course provides comprehensive, hands-on training in AMOS, covering everything from path analysis and confirmatory factor analysis (CFA) to advanced techniques like mediation, moderation, and multi-group analysis. You will learn to build, evaluate, and refine structural models, interpret model fit indices, and present SEM results in a way that meets publication standards. The course is particularly designed for PhD candidates, master's students, and researchers who need to apply SEM in their dissertations or published research.

What you'll learn

  • Understand the principles of Structural Equation Modeling
  • Build and specify path models in AMOS
  • Conduct Confirmatory Factor Analysis (CFA)
  • Evaluate model fit using CFI, RMSEA, SRMR, and other indices
  • Test mediation and moderation hypotheses
  • Perform multi-group analysis for comparative studies
  • Present SEM results for academic publications

Prerequisites

  • Understanding of basic statistics (regression, correlation)
  • Familiarity with SPSS or similar statistical software

Course curriculum

6 modules • Live instructor-led sessions

  • SEM concepts and terminology
  • AMOS interface and drawing tools
  • Observed vs. latent variables
  • Model specification basics
  • Direct and indirect effects
  • Path diagrams and coefficients
  • Model identification
  • Interpreting path results
  • CFA model specification
  • Factor loadings and reliability
  • Convergent and discriminant validity
  • Model modification indices
  • Chi-square and degrees of freedom
  • CFI, TLI, RMSEA, SRMR
  • Threshold criteria for good fit
  • Model comparison and selection
  • Baron and Kenny approach
  • Bootstrapping for indirect effects
  • Moderated mediation
  • Conditional process analysis
  • Configural and metric invariance
  • Multi-group SEM setup
  • Comparing groups and constraints
  • Writing SEM results for publication

Your instructor

Knowvate Faculty

Knowvate's faculty combines academic credentials from leading universities with professional industry experience. Every live session is taught by domain experts committed to your learning outcomes.