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Assessing the reliability of a repeated measures (within group) continuous variable
Hi Folks,
I have a 10 item construct with each item measures on a 7 point Lickert scale. The construct is measured at two points in time - a repeated measure. I can run a Cronbach alpha for each seperately and I can combine the variables and run an alpha for the combination but there is dependence here so these aren't correct approaches - so how do I assess the reliability of a repeated measures construct like this?
I have a 10 item construct with each item measures on a 7 point Lickert scale. The construct is measured at two points in time - a repeated measure. I can run a Cronbach alpha for each seperately and I can combine the variables and run an alpha for the combination but there is dependence here so these aren't correct approaches - so how do I assess the reliability of a repeated measures construct like this?
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ASKER
In this situation the solution is to report the reliability of the first instance only because there is dependence for the second.
ASKER
In this situation the solution is to report the reliability of the first instance only because there is dependence for the second.
That depends on the specifics of what you're doing. I'd strongly recommend giving more information about your measurement model the next time you post a question on this topic.
In many models, a researcher needs to model that dependence as part of their reliability estimate. Using only the first instance in those cases is incorrect.
In many models, a researcher needs to model that dependence as part of their reliability estimate. Using only the first instance in those cases is incorrect.
ASKER
Otherwise, I guess the first instance is the only valid one for reliability analysis.