OUTLINE FOR CHAPTER 13 (Part 1)

Two-Way Analyses of Variance

(NOTE: This outline covers pages 317-336 of Ch. 13. A different outline covers pages 336-356 of this chapter.)
 

  1. Introduction
    1. The number of independent variables in one-way and two-way ANOVAs
    2. The univariate vs. multivariate distinction
  2. Similarities Between One-Way and Two-Way ANOVAs
    1. A list of the similarities
    2. Though similar, they're quite different
  3. The "Structure" of a Two-Way ANOVA
    1. Factors, levels, and cells
      1. Synonyms for the term "factor"
      2. Delineating the "dimensions" of a two-way ANOVA
      3. Creating "pictures" of two-way ANOVAs
    2. Active vs. assigned factors and the formation of comparison groups
      1. The distinction between "active" and "assigned" factors
      2. Getting subjects into cells when both factors are assigned, when both factors are active, and when there is a combinations of these kinds of factors
    3. Between-subjects and within-subjects factors
    4. Samples and populations
      1. Locating the samples of any two-way ANOVA
      2. The assigned/active distinction (for factors) and the tangible/abstract distinction (for populations)
  4. Three Research Questions
    1. Main effect means and the first two research questions
    2. Cell means and the third research question
  5. The Three Null Hypotheses (and Three Alternative Hypotheses)
    1. Ho and Ha for the main effect associated with the row's factor
    2. Ho and Ha for the main effect associated with the column's factor
    3. Ho and Ha for the interaction between the two factors
  6. Presentation of Results
    1. Results of the two-way ANOVA study on desired number of children
      1. The basic two-way ANOVA summary table
      2. The meaning of the three F-test results
    2. Results from various two-way ANOVA studies
      1. Results shown via a two-way ANOVA summary table
      2. Results summarized within a passage of text
      3. Results of multiple two-way ANOVAs summarized in one table or one paragraph

 

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Schuyler W. Huck
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