The following books recommendations are based solely on my personal experience as an applied statistician. Each book has been instrumental in providing me with the skills needed to insure appropriate data analysis techniques are selected, models are developed correctly, assumptions are checked, and interpretation is performed appropriately.
Practical Nonparametric Statistics
Practical Nonparametric Statistics by W. J. Conover is the industry started when it comes to standard nonparametric statistical methods. These represent classic techniques that most academic reviewers will be familiar with. If you find yourself having to perform a rank transformation, chapter 12 does provide some logic for using it even when interactions are present. Be forewarned, this is becoming a somewhat controversial topic among statisticians.
