Hey gang, first time posting.
So, I have 9 time points of continuous learning data for 200ish people. I also have two manipulations (thus the 200 people are split into four groups, group size is unequal). I also collected several personality measures via questionnaires. I have a little bit of experience with SEM but not a ton. I have been thinking about using Latent Growth Curve modeling to describe the learning curves. I have successfully gotten a basic intercept, slope model to work, but I am confused about how to work experimental manipulations into an SEM framework.
Ultimately, what I would like to demonstrate is that people who scored high on one of the personality measures have different learning curves than people who score low. I have strong theoretical evidence to believe this relationship exists.
I realize this may be more of a conversation than a question and answer deal so I thank anyone that is willing to help me out.
Specifically, how do I work manipulations into SEM? Must I do group comparisons?
How do I investigate which items predict learning the best? See which items are loading most heavily on the latent construct?
I will definitely provide more details if needed, I just don't know what is relevant and what is not.
I am using LISREL but may switch to Mplus
So, I have 9 time points of continuous learning data for 200ish people. I also have two manipulations (thus the 200 people are split into four groups, group size is unequal). I also collected several personality measures via questionnaires. I have a little bit of experience with SEM but not a ton. I have been thinking about using Latent Growth Curve modeling to describe the learning curves. I have successfully gotten a basic intercept, slope model to work, but I am confused about how to work experimental manipulations into an SEM framework.
Ultimately, what I would like to demonstrate is that people who scored high on one of the personality measures have different learning curves than people who score low. I have strong theoretical evidence to believe this relationship exists.
I realize this may be more of a conversation than a question and answer deal so I thank anyone that is willing to help me out.
Specifically, how do I work manipulations into SEM? Must I do group comparisons?
How do I investigate which items predict learning the best? See which items are loading most heavily on the latent construct?
I will definitely provide more details if needed, I just don't know what is relevant and what is not.
I am using LISREL but may switch to Mplus