there is nothing from stopping you (is there?) trying several methods that are seen as sensible possibilities ... and seeing what happens?
of course, you might find a transformational algorithm that works BEST (of those you try) with the data you have but ... A) that still might be an "optimal" solution and/or B) it might be "best" with THIS data set but ... for other similar data sets it might not be i think the first hurdle you have to hop over is ... does it make ANY sense WHATSOEVER to take the data you have collected (or received) and change the numbers from what they were in the first place? if the answer is YES to that then my A and B comments seem to apply but, if the answer is NO ... then neither A nor B seem justifiable with 2 independent and 1 dependent variables... you have possibilities for transforming 0 of them ... 1 of them ... 2 of them ... or all of them and, these various combinations of what you do might clearly produce varying results _________________________________________________________ dennis roberts, educational psychology, penn state university 208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED] http://roberts.ed.psu.edu/users/droberts/drober~1.htm ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================
