1. Introduction and overview -- 2. Variability -- 3. t test -- 4. Analysis of variance -- 5. Completely randomized design -- 6. Comparisons and trends -- A priori comparisons -- The dunn test -- Trend analysis -- A posteriori comparisons -- 7. Treatments by blocks -- 8. Algorithms -- Nesting and cross-classifying subjects -- Degrees of freedom and sums of squares -- Mean squares and F ratios -- 9. Factorial design -- A Posteriori Testing -- Hierarchical designs -- 10. Split-plot and repeated measures designs
Summary
Experimental design is one of the most fundamental topics in social science statistics. This book introduces the reader to the elements of experimental design and analysis through careful explanations of the procedures as well as through illustrations using actual examples
