normality problem

#1
I have 15 dependent variables on on IQ measure am using in my study but after checking for skewness and kurtosis two of them are not normally distributed.How can I justify this and go ahead to use parametric tests for my analysis
 

noetsi

Fortran must die
#2
Which parametric test are you using? For regression and ANOVA for example the residuals not the individual variables have to be normal. This is a point that a lot of text miss when they discuss normality (I would be rich if I had a dollar for every poster here who pointed this out to me). :p
 

Dason

Ambassador to the humans
#3
I would be rich if I had a dollar for every poster here who pointed this out to me
Not that rich. There have only been a few of us that point it out. We've had to do it MANY times but there are only a few members that have pointed that fact out to you :p
 

noetsi

Fortran must die
#4
Lol yeah I mispecified my statment. I should have said times not posters :p

To the OP normality will not bias the results. It will distort confidence intervals although I believe most parametrics are very robust to the assumptions of normality. For example ANOVA.