I have a few questions in regards to setting up and running my weighted regression:
Firstly, some background. I am comparing point of subjective equality (PSE) values from participants. Specifically this is the compression value of a stimulus that needs to be applied for the participant to judge the stimulus to be the same width of the reference stimulus.
I am looking to use a regression analysis to compare this value with autistic traits as measured along the AQ.
Now, my first question is:
1) In my results file i have the standard error of the mean (SEM) for each PSE value.
To calculate the weights for the regression would I do :
1/(SEM^2) for each PSE value?
If so, these values are extremely large, is this normal?
2) If the above is correct do i simply add these values in as the weights then run the analysis or do I need to do anything else?
I hope this makes sense and thank you in advance for the help,
Jack
Firstly, some background. I am comparing point of subjective equality (PSE) values from participants. Specifically this is the compression value of a stimulus that needs to be applied for the participant to judge the stimulus to be the same width of the reference stimulus.
I am looking to use a regression analysis to compare this value with autistic traits as measured along the AQ.
Now, my first question is:
1) In my results file i have the standard error of the mean (SEM) for each PSE value.
To calculate the weights for the regression would I do :
1/(SEM^2) for each PSE value?
If so, these values are extremely large, is this normal?
2) If the above is correct do i simply add these values in as the weights then run the analysis or do I need to do anything else?
I hope this makes sense and thank you in advance for the help,
Jack