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  • Structural Equation Modeling in R

Course Curriculum

Total learning: 29 lessons / 6 quizzes Time: 30 weeks
CoursesCoursePremium CourseStructural Equation Modeling in R

    Concepts in Structural Equation Modeling 7

    • Lecture1.1
      What is Structural Equation Modelling and when to use it 05 min
    • Lecture1.2
      SEM History and difference between CB and PLS SEM 06 min
    • Lecture1.3
      A simple explanation of SEM formation (including Reflective and Formative constructs) 10 min
    • Lecture1.4
      Model identification issues 06 min
    • Lecture1.5
      Model estimators (ML,MLR,WLS,DWLS, PLS) 03 min
    • Lecture1.6
      Graphical notations in SEM 04 min
    • Quiz1.1
      SEM Quiz 1 2 questions

    Introduction to R Software 8

    • Lecture2.1
      How to install R Console and R Studio 07 min
    • Lecture2.2
      Variable specification and data operators 12 min
    • Lecture2.3
      Data Types in R 16 min
    • Lecture2.4
      Common functions in R 10 min
    • Lecture2.5
      Descriptive Statistics and Frequency Table in R 08 min
    • Lecture2.6
      Correlation tests in R 07 min
    • Lecture2.7
      Basic Statistical Tests in R (T-tests, ANOVA, OLS Regression) 05 min
    • Quiz2.1
      SEM Quiz 2 2 questions

    Prerequisites to Structural Equation Modeling 8

    • Lecture3.1
      Step-by-step SEM flowchart 10 min
    • Lecture3.2
      Data issues to consider for SEM 05 min
    • Lecture3.3
      Data preparation for SEM 15 min
    • Lecture3.4
      Loading data files in R environment 11 min
    • Lecture3.5
      Loading required R packages for SEM 06 min
    • Lecture3.6
      Descriptive statistics, multivariate normality and correlations of measurement items 10 min
    • Lecture3.7
      Non-response bias check through Wave Test 09 min
    • Quiz3.1
      SEM Quiz 3 3 questions

    Factor Analysis, Reliability and Validity 6

    • Lecture4.1
      Exploratory Factor Analysis in R 12 min
    • Lecture4.2
      Factor reliability check using Cronbach Alpha 06 min
    • Lecture4.3
      Confirmatory Factor Analysis in R 12 min
    • Lecture4.4
      Divergent and Convergent Validity of Measurement Model (Fornell-Larcker criterion) 06 min
    • Lecture4.5
      Extended Exploratory Factor Analysis 10 min
    • Quiz4.1
      SEM Quiz 4 2 questions

    Common Method Bias 4

    • Lecture5.1
      Common method bias check using Herman’s Single factor test 11 min
    • Lecture5.2
      Common method bias check using Common Latent Factor test 08 min
    • Lecture5.3
      Common method bias check using Common Marker Variable test 06 min
    • Quiz5.1
      SEM Quiz 5 2 questions

    Structural Equation Modeling 2

    • Lecture6.1
      SEM estimation in R using lavaan 07 min
    • Quiz6.1
      SEM Quiz 6 2 questions
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    Prev Data preparation for SEM
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