Chapter 11 FITB Flashcards
A factorial design uses all combinations of two or more — each having at least —
independent variables, two levels
Factorial designs are employed when one wants to study the — of two or more independent variables.
joint effect
A factorial design may save time by studying more than one condition per experiment, or it may be used when ruling out more than one rival hypothesis, or when one is interested in possible — between the independent variables
interaction
In a factorial experiment, the — of one variable is the effect of that variable averaged over all the levels of the other variable
main effect
An interaction exists between two independent variables when (independent) Variable A has a different effect on the dependent variable when it is combined with one level of (independent) Variable B than with another level of B. If the graph of a factorial experiment has — lines, there is an interaction between the variables.
nonparallel
If there is an interaction, the — is uninterpretable unless the nature of the interaction is taken into account
main effect
Types of interactions include
antagonistic, synergistic, and ceiling effect
Factorial designs may be conducted as either— or — , or they may be used in mixed experiments that
have one within-subjects variable and one between-subjects variable
within-subjects or between- subjects experiments
The — variable of a factorial design is experienced at all levels
by each subject. In contrast, each subject experiences only one level of a
within-subjects, between-subjects variable
Controlling for potential – and — effects is important when
including a within-subjects variable in a factorial experiment
sequence and order
The — factorial design requires the fewest subjects to achieve
a particular degree of power, the — the next fewest, and the — design the most
within-subjects, mixed design, between-subjects