Is the below still accurate? As in did it not work at all when you tried to run it? When I change the data to scale and choose DWLS, I get slightly different output than if I keep the data as ordinal. I ran it with ULS and the same thing happened--slightly different output based on the data type. If it matters, I used MI to address missing data prior to running any analyses so there are some items with in-between category points (e.g., 1.29 instead of 0, 1, 2, 3, 4), and also my indicators are essentially all normally distributed. Three of 60 had skew between 1.0 and 1.3, the others were
Thank you for you helpful video! And you provided the dataset too. Awesome! Just a doubt... it seems that JASP does not estimate CFA models with ordinal variables. They must be set as scalar before choosing DWLS estimation method. Is it correct?
Is the below still accurate? As in did it not work at all when you tried to run it? When I change the data to scale and choose DWLS, I get slightly different output than if I keep the data as ordinal. I ran it with ULS and the same thing happened--slightly different output based on the data type. If it matters, I used MI to address missing data prior to running any analyses so there are some items with in-between category points (e.g., 1.29 instead of 0, 1, 2, 3, 4), and also my indicators are essentially all normally distributed. Three of 60 had skew between 1.0 and 1.3, the others were
Thank you for you helpful video! And you provided the dataset too. Awesome! Just a doubt... it seems that JASP does not estimate CFA models with ordinal variables. They must be set as scalar before choosing DWLS estimation method. Is it correct?
Yes