This was an amazing video- Thank you so much. How would the analysis be different if I have 2 different outcome variables to compare between 2 different groups? Do I first run the analysis for one variable for one group and then force the model for the other group for the same variable? And then repeat the same for the next variable? Or is there another way to conduct this? I hope this makes sense. Thank you so much
Hello, my research group really appreciates your video. We were recently introduced to the interrupted time series analysis, but we need more guidance from the faculty at our university. Would you happen to have any additional resources you can give me that I can share with my team on how to better understand the data and outputs for an interrupted time series?
Hi! Thanks for the great tutorial. I am currently trying to analyze my data using interrupted time series. May i know, the model that you showed, which type of interrupted intervention pattern (step function or pulse function?). Thanks in advance!
@@scotchmasking4270 I have a question about the differentiation of the intervention variables (Driver Training - GDL Start). If you differences the intervention variables actually stop being a step variable and become a pulse variable, right? Since when you subtract the value 1 of the year 1994, for example, from the value 1 of the year 1995, the result will be 0. Thus, the Driver Training variable would have values of 0 except for the year 1990, which will have a value of 1. How should the result truly be interpreted? Could we say that Driver Training reduced by almost 7% permanently, or only during the year 1991? What would happen if we don't differentiate the intervention variable? Is this possible? Thanks for addressing these questions.
This was an amazing video- Thank you so much. How would the analysis be different if I have 2 different outcome variables to compare between 2 different groups?
Do I first run the analysis for one variable for one group and then force the model for the other group for the same variable? And then repeat the same for the next variable? Or is there another way to conduct this?
I hope this makes sense. Thank you so much
Hello, my research group really appreciates your video. We were recently introduced to the interrupted time series analysis, but we need more guidance from the faculty at our university. Would you happen to have any additional resources you can give me that I can share with my team on how to better understand the data and outputs for an interrupted time series?
Send me your email and I’ll send the assignments if you’d like them
Thank you so much.
Hi! Thanks for the great tutorial. I am currently trying to analyze my data using interrupted time series. May i know, the model that you showed, which type of interrupted intervention pattern (step function or pulse function?). Thanks in advance!
This was a simple step - so it modeled a sudden-permanent effect
@@scotchmasking4270 I have a question about the differentiation of the intervention variables (Driver Training - GDL Start). If you differences the intervention variables actually stop being a step variable and become a pulse variable, right? Since when you subtract the value 1 of the year 1994, for example, from the value 1 of the year 1995, the result will be 0. Thus, the Driver Training variable would have values of 0 except for the year 1990, which will have a value of 1. How should the result truly be interpreted? Could we say that Driver Training reduced by almost 7% permanently, or only during the year 1991? What would happen if we don't differentiate the intervention variable? Is this possible?
Thanks for addressing these questions.