My Books

Introduction to Path Analysis with R / lavaan:
Set up path models quickly and interpret them reliably in R

Available for Amazon Kindle

In this introduction to lavaan, all necessary steps of a path analysis are discussed, from setting up the model to interpreting the results:

1. Model specification: How do you enter a path model into lavaan?
2. Model identification: Can your model be estimated at all?
3. Model estimation: Estimation of the path model
4. Model evaluation: Does your model fit the data? (model test, fit indices, global fit, local fit)
5. Model respecification: How might your model need to be adjusted to fit the data? (modification indices, LR test)
6. Model interpretation: unstandardized and standardized values, R².

Other topics covered are: Model comparison, mediation / indirect effects, moderation / interaction, visualization of the results.

Finally, there is an outlook on further topics of path analysis with R/lavaan: Cross-lagged panel models, longitudinal mediation, dyadic structures (APIM), mean structures, multi-group path models, power analyses, path models with covariance matrix only (instead of raw data).

Confirmatory Factor Analysis without Math and Formulas

Planned publication date: July, 2024