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  3. Structural Equation Modeling with lavaan in R
  • 1

    One-Factor Models

    Free

    In this chapter, you will dive into creating your first structural equation model with lavaan. You will learn important terminology, how to build, and run models. You will create a one-factor model of mental test abilities using the classic Holzinger and Swineford (1939) dataset.

  • 2

    Multi-Factor Models

    In this chapter, you will expand your skills in lavaan to creating multi-factor models. We will improve the one-factor models from the last chapter by creating multiple latent variables in the classic Holzinger and Swineford (1939) dataset.

  • 3

    Troubleshooting Model Errors and Diagrams

    Structural equation models do not always run smoothly, and in this chapter, you will learn how to troubleshoot Heywood cases which are common errors. You will also learn how to diagram your model in R using the semPlot library.

  • 4

    Full Example and an Extension

    This chapter examines the WAIS-III IQ Scale and its structural properties. You will use your skills from the first three chapters to create various models of the WAIS-III, troubleshoot errors in those models, and create diagrams of the final model.

Initializing

Exercise

Build a Multi-Factor Model

Another way to improve our text-speed model would be to create a two-factor model with text and speed as latent variables, rather than split the model into two one-factor models. In this exercise, write the model specification code for a two-factor model.

If you want to view the dataset to see the columns, you can use head(HolzingerSwineford1939).

Instructions

100 XP
  • Name your model twofactor.model.
  • Use x4, x5, and x6 to create a text latent variable.
  • Use x7, x8, and x9 to create a speed latent variable.