8  Monte Carlo Studies in Blimp

Blimp also includes a SIMULATE command for creating artificial data sets with Monte Carlo computer simulation. This command creates a data set based on user-specified population parameters, after which it fits the equations from the MODEL command to the simulated data. The simulated data set can be saved by specifying dataset = filename with the SAVE command. Parameter estimates from the fitted model can also be saved following the procedure described in the SAVE section of Chapter 2. Note that each Blimp script generates a single artificial data set. To embed this functionality in a broader Monte Carlo computer simulation (e.g., inside a loop function), see Section 1.9. This chapter is currently under construction, but the Examples pull-down menu in Blimp Studio shows the following examples.

8.1: Simulation With Linear Regression
8.2: Simulation With Bivariate Regression
8.3: Simulation With Bifactor Model
8.4: Simulation With Random Intercept Model
8.5: Simulation With Random Slopes
8.6: Simulation With Linear Growth Model
8.7: Simulation With Two-level Decomposed Effects Model
8.8: Simulation With Missing Data Generation
8.9: Simulation With Dynamic (Lagged) Effects
8.10: Simulation With Bivariate Dynamic (Lagged) Effects