Design and Analysis: A Researcher's HandbookThe fourth edition of Design and Analysis continues to offer a readily accessible introduction to the designed experiment in research and the statistical analysis of the data from such experiments. Unique because it emphasizes the use of analytical procedures, this book is appropriate for all as it requires knowledge of only the most fundamental mathematical skills and little or no formal statistical background. Topics include: single- and two-factor designs with independent groups of subjects; corresponding designs with multiple observations; analysis of designs with unequal sample sizes; analysis of covariance; designs with three factors, including all combinations of between-subjects and within-subject factors; random factors and statistical generalization; and nested factors. This book lives up to its name as a handbook, because of its usefulness as a source and guide to researchers who require assistance in both planning a study and analyzing its results. |
Contents
Specifying Sources of Variability | 23 |
Chapter 3 | 43 |
Assumptions and Other Considerations | 80 |
Copyright | |
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Common terms and phrases
A X B interaction a₁ a₂ AB matrix ABC matrix analysis of simple analysis of variance associated average b₁ b₂ basic ratios BX S/A calculate cell Chapter coefficients column combined comp comparison matrix completely randomized completely randomized design component computational formulas conducted consider covariate degrees of freedom deviation df statement drug effect of factor error term error variance estimate expected value F ratio F test factorial design factorial experiment independent variables interaction comparisons levels of factor linear manipulation ment MSS/A nested factor null hypothesis number of subjects numerical example obtained orthogonal overall partial factorial particular planned comparisons practice effects problem procedures quadratic randomly repeated factor represent S/AB significant simple effects single-df comparisons single-factor design single-factor experiment sources of variance specific sums of squares three-way interaction tion treatment conditions treatment effects treatment means type I error within-groups mean square within-subjects designs