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16 Cards in this Set

  • Front
  • Back
reference to a peer-reviewed journal
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
an interaction
In a factorial experiment, which is the most important effect?
8
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?
type of commercial shown
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?
tastiness and expensiveness
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?
independent-groups factorial
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?
amount of alcohol consumed by the young adult during the week
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?
three main effects, three two-way interactions, and a three-way interaction
What differences need to be investigated when a three-way design is used?
interaction
What is it called when the effect of one independent variable depends on the level of the other independent variable?
3 independent variables, 24 cells
How many independent variables and how many cells are there in a 2 × 3 × 4 study?
interaction
whether the effect of the original independent variable depends on another independent variable
factorial design
a design in which there are two or more independent variables
crossed factorial design
when researches study each possible combination of the independent variables
nested factorial design
variation in a factorial design in which one independent variable is primary, and the other independent variable is under it
participant
a variable whose levels are selected, not manipulated
marginal means
means for each level of an independent variable, averaging over levels of the other independent variable