Mixing
Standardising a score of values
$begingroup$
I am working on developing on a standardised score from a number of scores.
The values will be ranging from large to small of each score and I am trying to develop a way of proportionally measuring different data sets. I have something at the moment which is:
(x1/largest x in dataset1) x100
(y1/largest y in dataset1) x100
(z1/largest z in dataset1) x100
[and so on.. and then I find the mean of the answers.]
I then compare the mean to the another mean but from a different data set (dataset2). Is this standardised? And an accurate way of measuring these scores? I've considered doing z-score scaling. I am not very maths competent so apologies if I have created any confusion.
Please do let me know if you have any questions.
Thank you,
Cyrus
means
asked Jan 16 at 23:12
CyrusCyrus
11
$endgroup$
add a comment |
$begingroup$
I am working on developing on a standardised score from a number of scores.
The values will be ranging from large to small of each score and I am trying to develop a way of proportionally measuring different data sets. I have something at the moment which is:
(x1/largest x in dataset1) x100
(y1/largest y in dataset1) x100
(z1/largest z in dataset1) x100
[and so on.. and then I find the mean of the answers.]
I then compare the mean to the another mean but from a different data set (dataset2). Is this standardised? And an accurate way of measuring these scores? I've considered doing z-score scaling. I am not very maths competent so apologies if I have created any confusion.
Please do let me know if you have any questions.
Thank you,
Cyrus
means
asked Jan 16 at 23:12
CyrusCyrus
11
$endgroup$
add a comment |
$begingroup$
I am working on developing on a standardised score from a number of scores.
The values will be ranging from large to small of each score and I am trying to develop a way of proportionally measuring different data sets. I have something at the moment which is:
(x1/largest x in dataset1) x100
(y1/largest y in dataset1) x100
(z1/largest z in dataset1) x100
[and so on.. and then I find the mean of the answers.]
I then compare the mean to the another mean but from a different data set (dataset2). Is this standardised? And an accurate way of measuring these scores? I've considered doing z-score scaling. I am not very maths competent so apologies if I have created any confusion.
Please do let me know if you have any questions.
Thank you,
Cyrus
means
asked Jan 16 at 23:12
CyrusCyrus
11
$endgroup$
I am working on developing on a standardised score from a number of scores.
The values will be ranging from large to small of each score and I am trying to develop a way of proportionally measuring different data sets. I have something at the moment which is:
(x1/largest x in dataset1) x100
(y1/largest y in dataset1) x100
(z1/largest z in dataset1) x100
[and so on.. and then I find the mean of the answers.]
I then compare the mean to the another mean but from a different data set (dataset2). Is this standardised? And an accurate way of measuring these scores? I've considered doing z-score scaling. I am not very maths competent so apologies if I have created any confusion.
Please do let me know if you have any questions.
Thank you,
Cyrus
means
means
asked Jan 16 at 23:12
CyrusCyrus
11
asked Jan 16 at 23:12
CyrusCyrus
11
asked Jan 16 at 23:12
CyrusCyrus
11
asked Jan 16 at 23:12
CyrusCyrus
11
asked Jan 16 at 23:12
CyrusCyrus
11
11
add a comment |
add a comment |
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