Structural Equation Model using R

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All chapters (an online course)

  • ABC666:  syllabus
  •   Chapter   #1: R installation,basics, value assignment
  •   Chapter   #2: Simple function, Input data
  •   Chapter   #3: Simple data manipulation
  •   Chapter   #4: R loops, if else, if else if
  •   Chapter   #5: Output data to an external file
  •   Chapter   #6: Data frame and list
  •   Chapter   #7: subset, combine data sets, and merge
  •   Chapter   #8: date variable
  •   Chapter   #9: Simple plots and graphs
  •   Chapter #10: Matrix manipulation
  •   Chapter #11: String manipulation
  •   Chapter #12: Introduction to R packages
  •   Chapter #13: Excela and R, reading SAS data sets
  •   Chapter #14: Reading zip and binary files
  •   Chapter #15: Linear Regressions
  • -------------------------------------
  •   Chapter #16: Introduction to Structural Equation Model (SEM)
  •   Chapter #17: Applicatons to Schology
  •   Chapter #18: Applicatons to Finance/Economics
  •   Chapter #19: Applicatons to Management
  •   Chapter #20: Applicatons to Marketing
  •   Chapter #21: 'lavaan': Latent Variable Analysis
  •   Chapter #22: 'sem' : Structural Equation Models
  •   Chapter #23: 'gesca':Generalized Structured Component Analysis *
  •   Chapter #24: one more related R package
  •   Chapter #25: 2nd related R package
  •   Chapter #26: Other packages related to SEM
  •   Chapter #27: Term projects

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