Zero Skewness Log Transform. I think fitting that model is fine. Moderately positive skewness Square-Root NEWX SQRTX Substantially positive skewness Logarithmic Log 10 NEWX LG10X Substantially positive skewness with zero values Logarithmic Log 10 NEWX LG10X C Moderately negative skewness Square-Root NEWX SQRTK X.
Another approach to dealing with negative skewness is the skip the reflection and go directly to a single transformation that will reduce negative skewness. Exp must be strictly positive. Aug 21 2019 I do not log-transform response time RT data.
The log function plus normalization is an excellent way to transform skewed data if the results can still be skewed.
Exp must be strictly positive. Aug 21 2018 This looks very reasonable. Another approach to dealing with negative skewness is the skip the reflection and go directly to a single transformation that will reduce negative skewness. Moderately positive skewness Square-Root NEWX SQRTX Substantially positive skewness Logarithmic Log 10 NEWX LG10X Substantially positive skewness with zero values Logarithmic Log 10 NEWX LG10X C Moderately negative skewness Square-Root NEWX SQRTK X.
