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Master CB-SEM & Path Analysis with AMOS: Pro 2024 Guide

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1:55:32

  • 1 -Course Contents.mp4
    02:43
  • Files.zip
  • 1 -EFA vs CFA guidlines.pdf
  • 1 -Multivariate Analysis and EFA vs CFA.mp4
    05:26
  • 2 -Introduction to SEM and CB-SEM vs PLS-SEM.mp4
    09:13
  • 3 -Concept of Latent Constructs.mp4
    05:33
  • 4 -Types of Models and Reflective vs Formative Models.mp4
    04:49
  • 1 -Overview of IBM AMOS Interface.mp4
    09:46
  • 2 -Difference between Estimation Methods.mp4
    04:19
  • 1 -Overview of Steps in Conducting SEM.mp4
    04:00
  • 2 -Define the Individual Constructs.mp4
    05:11
  • 3 -Model Identification in AMOS.mp4
    07:46
  • 4 -Assumptions and Sample Size Determination.mp4
    06:51
  • 5 -Data Preparation and Preliminary Analysis using SPSS.mp4
    09:47
  • 6 -Reporting the Results of Preliminary Analysis.mp4
    01:44
  • 1 -Specify the Measurement Model An Overview.mp4
    07:01
  • 2 -Developing Measurement Model in AMOS.mp4
    03:42
  • 1 -Assess Measurement Model Fit.mp4
    07:33
  • 2 -Assessing Model Fit in AMOS.mp4
    04:10
  • 3 -Reporting the Results of Model Fit.mp4
    01:51
  • 4 -Convergent Validity of Measurement Model.mp4
    09:12
  • 5 -Discriminant Validity of Measurement Model.mp4
    04:55
  • More details


    Course Overview

    Master Covariance-Based Structural Equation Modeling (CB-SEM) and Path Analysis using IBM AMOS and SmartPLS 4. This comprehensive course covers multivariate analysis, model specification, and reporting results for impactful research.

    What You'll Learn

    • Foundations of SEM including EFA vs CFA and latent constructs
    • AMOS interface navigation and estimation methods
    • Measurement model development and validity assessment

    Who This Is For

    • Researchers in social sciences, psychology, and business
    • Data analysts expanding their statistical skillset
    • Graduate students enhancing research methodology

    Key Benefits

    • Hands-on training with valid datasets
    • Step-by-step guidance from data preparation to reporting
    • Master both CB-SEM and PLS-SEM approaches

    Curriculum Highlights

    1. Foundations of SEM & multivariate analysis
    2. AMOS interface & estimation methods
    3. Measurement model specification & validation
    Focused display
    • language english
    • Training sessions 20
    • duration 1:55:32
    • Release Date 2025/05/26

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