Hi everyone,
I'm new to the forum, but I'm definitely glad it's here.
I have a difficult research design problem / stats problem that I was hoping to get some advice on.
I have a situation where we are trying to determine not only what the effect of a treatment is before and after, but what aspects or factors of that treatment affect the post-test measurement. in this case it is a web based learning training tool; users don't have to utilize all aspects of the training tool to complete the training, so we'd like to understand what of the aspects they do use have the most impact on the training outcome
I have read some about separate sample pre-test post-test designs, as well as repeated measures. However, the part I'm struggling with is how to measure the specific tool features utilized by our sample and how to place them within a standard pre-test post-test design to help predict the DV.
If we use a repeated measures design, then I can use the pre-test as a covariate.
here are some basics:
measurements are being done using an online survey tool
sample is randomly selected, we cannot control who partakes in the training / use of tool
we can track who uses what features of the tool
Any help or advice is appreciated.
thank you kindly.
I'm new to the forum, but I'm definitely glad it's here.
I have a difficult research design problem / stats problem that I was hoping to get some advice on.
I have a situation where we are trying to determine not only what the effect of a treatment is before and after, but what aspects or factors of that treatment affect the post-test measurement. in this case it is a web based learning training tool; users don't have to utilize all aspects of the training tool to complete the training, so we'd like to understand what of the aspects they do use have the most impact on the training outcome
I have read some about separate sample pre-test post-test designs, as well as repeated measures. However, the part I'm struggling with is how to measure the specific tool features utilized by our sample and how to place them within a standard pre-test post-test design to help predict the DV.
If we use a repeated measures design, then I can use the pre-test as a covariate.
here are some basics:
measurements are being done using an online survey tool
sample is randomly selected, we cannot control who partakes in the training / use of tool
we can track who uses what features of the tool
Any help or advice is appreciated.
thank you kindly.