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sem-r-training's Introduction

Outline

Topics

  • R objects
  • R packages
  • Reading data into R
  • Basic data wrangling with Tidyverse
    • select()
    • filter()
    • mutate()
    • rename()
    • arrange()
    • group_by() and summarize()
    • %>% pipe operator

Topics

  • Objectives of factor analysis
  • Designing an EFA
  • Assumptions in EFA
  • Deriving factors and assessing overall fit
  • Interpreting factor

Topics

  • CFA-SEM overview
  • CFA-SEM with Lavaan package
  • Defining constructs
  • Developing the overall measurement model
  • Assessing measurement model validity
  • Specifying the structural model
  • Assessing the structural model validity

In this session, we will be replicating the results of a study entitled "Young people's perceived service quality and environmental performance of hybrid electric bus service" by Munim and Noor (2020). You can access the article by clicking this DOI link. The idea of this session is to be familiar with how SEM results are presented in a publishable format.

The word cloud below summarises the participant's expectations about the SEM training. The data used to generate the plot is based on the participants' registration information.

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