| a. | Plot the complementary form of the factorial graph of Figure 5.2. Which do you consider more useful? |
| b. | Plot the complementary form of the factorial graph in the left panel of Figure 5.4. Which way do you consider more useful? |
| c. | Do the same as in (b) for the center panel of Figure 5.4. |
| d. | Compare both forms of the two-way, AB data table of Figure 5.5. |
| a. | Centration on Damage. |
| b. | Centration on Intent. |
| c. | Blame = Intent + Damage. |
| d. | Blame = Intent × Damage. |
| e. | Accident-configural integration: Blame independent of amount of damage if damage is accidental; otherwise, Blame = Intent + Damage. |
| f. | * Centration on the larger of Intent and Damage. |
| a. | Relying on visual inspection, guess which sources in the Anova will be substantial, which will not. |
| b. | What features of your graph are clues to the variability of the data? |
| c. | What can Anova add to this visual inspection? |
4. In the left panel of Figure 5.4, the two levels of A have quite different effects. Yet the text says “The null hypothesis for A is true in this case.” What's going on?
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Questia, a part of Gale, Cengage Learning. www.questia.com
Publication information:
Book title: Empirical Direction in Design and Analysis.
Contributors: Norman H. Anderson - Author.
Publisher: Lawrence Erlbaum Associates.
Place of publication: Mahwah, NJ.
Publication year: 2001.
Page number: 151.
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