Course Curriculum
Total learning: 29 lessons / 6 quizzes
Time: 30 weeks
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What is Structural Equation Modelling and when to use it 05 minLecture1.1
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SEM History and difference between CB and PLS SEM 06 minLecture1.2
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A simple explanation of SEM formation (including Reflective and Formative constructs) 10 minLecture1.3
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Model identification issues 06 minLecture1.4
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Model estimators (ML,MLR,WLS,DWLS, PLS) 03 minLecture1.5
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Graphical notations in SEM 04 minLecture1.6
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SEM Quiz 1 2 questionsQuiz1.1
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How to install R Console and R Studio 07 minLecture2.1
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Variable specification and data operators 12 minLecture2.2
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Data Types in R 16 minLecture2.3
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Common functions in R 10 minLecture2.4
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Descriptive Statistics and Frequency Table in R 08 minLecture2.5
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Correlation tests in R 07 minLecture2.6
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Basic Statistical Tests in R (T-tests, ANOVA, OLS Regression) 05 minLecture2.7
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SEM Quiz 2 2 questionsQuiz2.1
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Step-by-step SEM flowchart 10 minLecture3.1
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Data issues to consider for SEM 05 minLecture3.2
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Data preparation for SEM 15 minLecture3.3
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Loading data files in R environment 11 minLecture3.4
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Loading required R packages for SEM 06 minLecture3.5
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Descriptive statistics, multivariate normality and correlations of measurement items 10 minLecture3.6
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Non-response bias check through Wave Test 09 minLecture3.7
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SEM Quiz 3 3 questionsQuiz3.1
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Exploratory Factor Analysis in R 12 minLecture4.1
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Factor reliability check using Cronbach Alpha 06 minLecture4.2
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Confirmatory Factor Analysis in R 12 minLecture4.3
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Divergent and Convergent Validity of Measurement Model (Fornell-Larcker criterion) 06 minLecture4.4
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Extended Exploratory Factor Analysis 10 minLecture4.5
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SEM Quiz 4 2 questionsQuiz4.1
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Common method bias check using Herman’s Single factor test 11 minLecture5.1
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Common method bias check using Common Latent Factor test 08 minLecture5.2
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Common method bias check using Common Marker Variable test 06 minLecture5.3
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SEM Quiz 5 2 questionsQuiz5.1
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SEM estimation in R using lavaan 07 minLecture6.1
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SEM Quiz 6 2 questionsQuiz6.1
Concepts in Structural Equation Modeling 7
Introduction to R Software 8
Prerequisites to Structural Equation Modeling 8
Factor Analysis, Reliability and Validity 6
Common Method Bias 4
Structural Equation Modeling 2
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