Thank you for your answer!
I already log-transformed the variable, yielding the following result:
http://yfrog.com/11graphpp
...looks relatively normally distributed to me.
Unfortunately, swilk and swfrancia still tell me that it's not
normally distributed...
On Tue, Jun 2, 2009 at 10:04 PM, Dan MacNulty <macn0007@umn.edu> wrote:
Why not transform your dependent variable (e.g, log-transform) to
approximate a normal distribution? Dan
Christian Weiss wrote:
Dear Statalisters,
I am working with a random-intercept model using REML. As it turned
out my dependent variable is not normally distributed.
If I recall it correctly, one of the assumptions of ML is multivariate
normality. Do you have any advice what to do or to consider?
Best regards
Christian
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
