Chapter 11 FITB Flashcards

1
Q

A factorial design uses all combinations of two or more — each having at least —

A

independent variables, two levels

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2
Q

Factorial designs are employed when one wants to study the — of two or more independent variables.

A

joint effect

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3
Q

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

A

interaction

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4
Q

In a factorial experiment, the — of one variable is the effect of that variable averaged over all the levels of the other variable

A

main effect

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5
Q

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.

A

nonparallel

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6
Q

If there is an interaction, the — is uninterpretable unless the nature of the interaction is taken into account

A

main effect

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7
Q

Types of interactions include

A

antagonistic, synergistic, and ceiling effect

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8
Q

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

A

within-subjects or between- subjects experiments

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9
Q

The — variable of a factorial design is experienced at all levels

by each subject. In contrast, each subject experiences only one level of a

A

within-subjects, between-subjects variable

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10
Q

Controlling for potential – and — effects is important when

including a within-subjects variable in a factorial experiment

A

sequence and order

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11
Q

The — factorial design requires the fewest subjects to achieve

a particular degree of power, the — the next fewest, and the — design the most

A

within-subjects, mixed design, between-subjects

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12
Q
A
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