Designing experiments and analyzing data (original) (raw)

Through this book's unique model comparison approach, students are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs. This establishes an integrative theme that shows how statistical methods appropriate for various experimental designs relate to one another. Drs. Maxwell and Delaney believe that the model comparison approach takes the mystery out of analyzing data by: K better preparing students to understand the logic behind a general strategy of data analysis appropriate for various designs; and K building a stronger foundation, which allows for the introduction of more complex topics omitted from other books, such as the multivariate approach to repeated measures designs.