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16 Cards in this Set
- Front
- Back
reference to a peer-reviewed journal
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Which of the following would not be a cue that the study was a factorial design in a popular press article?
the phrase "it depends" reference to a peer-reviewed journal the use of a participant variable as well as another independent variable phrasing that suggests that there was a difference in the differences |
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an interaction
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In a factorial experiment, which is the most important effect?
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8
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Yan and Sengupta (2011) examined the effects of price, attractiveness, and consumer on the perceived tastiness and expensiveness of a dish of fried rice. The study was a 2 × 2 × 2 design that varied price (inexpensive or expensive), picture (attractive or unattractive), and consumer (self or classmate) in a between-subjects design. How many cells are there in this study?
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type of commercial shown
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A recent study (Koordeman et al., 2011), conducted in the Netherlands, on the effects of commercials for alcohol or alcohol consumption in the movie theater, found that young adults who consume large amounts of alcohol each week are influenced by the commercials, whereas young adults who consume small amounts of alcohol each week were not influenced. Participants saw one of two types of beverage commercials: alcoholic or nonalcoholic. Their consumption of alcohol during the movie was then measured. Finally, they completed a questionnaire on their drinking habits. What is a factor in this study?
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tastiness and expensiveness
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Yan and Sengupta (2011) examined the effects of price, attractiveness, and consumer on the perceived tastiness and expensiveness of a dish of fried rice. The study was a 2 × 2 × 2 design that varied price (inexpensive or expensive), picture (attractive or unattractive), and consumer (self or classmate) in a between-subjects design. What is the dependent variable?
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independent-groups factorial
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A recent study (Koordeman et al., 2011), conducted in the Netherlands, on the effects of commercials for alcohol or alcohol consumption in the movie theater, found that young adults who consume large amounts of alcohol each week are influenced by the commercials, whereas young adults who consume small amounts of alcohol each week were not influenced. Participants saw one of two types of beverage commercials: alcoholic or nonalcoholic. Their consumption of alcohol during the movie was then measured. Finally, they completed a questionnaire on their drinking habits. What type of design is this?
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amount of alcohol consumed by the young adult during the week
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A recent study (Koordeman et al., 2011), conducted in the Netherlands, on the effects of commercials for alcohol or alcohol consumption in the movie theater, found that young adults who consume large amounts of alcohol each week are influenced by the commercials, whereas young adults who consume small amounts of alcohol each week were not influenced. Participants saw one of two types of beverage commercials: alcoholic or nonalcoholic. Their consumption of alcohol during the movie was then measured. Finally, they completed a questionnaire on their drinking habits. What is a participant variable in this study?
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three main effects, three two-way interactions, and a three-way interaction
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What differences need to be investigated when a three-way design is used?
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interaction
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What is it called when the effect of one independent variable depends on the level of the other independent variable?
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3 independent variables, 24 cells
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How many independent variables and how many cells are there in a 2 × 3 × 4 study?
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interaction
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whether the effect of the original independent variable depends on another independent variable
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factorial design
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a design in which there are two or more independent variables
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crossed factorial design
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when researches study each possible combination of the independent variables
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nested factorial design
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variation in a factorial design in which one independent variable is primary, and the other independent variable is under it
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participant
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a variable whose levels are selected, not manipulated
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marginal means
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means for each level of an independent variable, averaging over levels of the other independent variable
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