Statistical Methods for Psychology (4 Rev ed)

Intended for graduate-level courses in statistics for psychology majors, this best-seller has earned high marks among students and instructors for its clear, conceptual approach and strong emphasis on experimental psychology.

The author presents statistics at an intuitive level to give students a sense of how tests work and how they interrelate. Stressing the value of data analysis before jumping in with a hypothesis test, Howell examines the connection between statistical tests and the theoretical questions posed by such experiments to develop students' conceptual skills. New to the Fourth Edition are:
-- Additional real-life examples from published literature, including new extended examples
-- Stronger emphasis on computer calculations, with new output examples from Minitab "RM", SPSS "RM", JMP IN, and SAS computer packages
-- Greater depth on categorical data analysis that gives more attention to odds ratios and less to goodness-of-fit as a guide to interpretation
-- An entirely new chapter on log-linear models and their use in the behavioral sciences
-- An updated multiple comparison chapter that broadens the concept of Bonferroni procedures