I am trying to statistically normalize a behavioral dataset so that variables from different participants have the same minimum and maximum point. i.e. responces from different participants can have the same minimum and maximum variable. I tried logarithms but they dont work with negative values. Normalization such as standard deviation does not work either. What is the formula for my problem how can I do that?
2006-07-11 06:09:12 · 4 answers · asked by ? 2 in Science & Mathematics ➔ Mathematics
I'm not entirely sure I'm reading your question properly, but if I am my solution might be useful.
It seems to me that what you would want to do is standardize each score in the following manner. Find the range for participant A. I will say -4 to 14 as an example. The range here is 18. For all responses of participant A, change the score as follows:
(score - min) / range
For a score 6, you would use (6- (-4)) / 18 = .55555...
By standardizing all the scores for each participant in this manner, you will have scores standardized that go from 0 to 1. These are basically the percentage scores for each scenario along a participant's range and are independent of the range of scores a particular participant gave.
2006-07-11 11:03:48 · answer #1 · answered by itsverystrange 2 · 6⤊ 1⤋
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2016-11-06 05:19:36 · answer #2 · answered by ? 4 · 0⤊ 0⤋
If you are serious about this, I have access to people that can help you out with that. Computer GENIUSES, really.
Cal-el
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2006-07-11 06:46:31 · answer #3 · answered by Prodigal Son 4 · 0⤊ 0⤋
try a sine wave?
2006-07-11 06:13:48 · answer #4 · answered by bequalming 5 · 0⤊ 0⤋