Chapter 8
| 1. Counterbalancing is a technique that can be used for: |
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| 2. See the summary table below. In the analysis of this two-factor design, __________ F test(s) was/were computed. Table Analysis of Variance Summary Table for Depression Scores Source df F A = Drug Th 1 1.86 B = Cog Beh Th 1 12.23* A x B 1 2.03 Error 30 * p < .05 |
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| 3. In the two-factor design shown in the summary table below, there was/were __________ level(s) of Factor A, Drug. Table Analysis of Variance Summary Table for Depression Scores Source df F A = Drug Th 1 1.86 B = Cog Beh Th 1 12.23* A x B 1 2.03 Error 30 * p < .05 |
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| 4. A study contains two factors, X and Y, each with two levels (present, absent). The possible treatments are __________. |
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| 5. A researcher investigates the influence of illumination levels (high, moderate, low) on reading speed, for texts varying in difficulty (complex, simple). In this factorial design, there are a total of __________ treatments. |
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| 6. A researcher investigates the effect of caffeine on problem solving speed. She administers either a placebo, 1, 2, or 5 mg of caffeine to subjects and measures the average time it takes them to solve three problems. This design contains _______________ factor(s) with __________ level(s). |
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| 7. In a within-subjects design, the most likely threat to internal validity is __________. |
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| 8. When comparing line and bar charts, __________. |
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| 9. The degrees of freedom associated with the main effects and interaction in an analysis of variance depend on: |
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| 10. A __________ design is a design with two or more independent variables, in which the complete set of treatments is defined by the product of the levels of the independent variables. |
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| 11. When factors such as age and sex, which are based upon characteristics of subjects, are used as a factor in a factorial design, __________. |
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| 12. The design that best controls for individual differences between subjects, using the fewest number of subjects, is the __________. |
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