One-way ANOVA -- Using the computer -- Factorial structure -- Two-way ANOVA -- Multi-factor designs -- Error purifying designs -- Specific comparisons -- Measurement issues -- Strength of effect -- Nested designs -- Missing data -- Confounded designs -- Introduction to functional measurement
Summary
Beginning with the basics, then proceeding to more advanced concepts, and including exercises and discussions of how to present the results, this volume explains ANOVA, a set of statistical techniques for analysing the results of controlled or quasi-controlled experiments. It is useful for students and professionals
Bibliography
Includes bibliographical references (pages 259-263) and indexes
