Chapter 9 Flashcards

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1
Q

A description of how many variables are being used in the independent and the dependant

A

factoral design

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2
Q

2 x 4 factorial design has how many conditions?

A

8, first independent variable has 2 levels and the second independent variable has 4 levels

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3
Q

The number of variations of an independent variable

A

level

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4
Q

two temperature levels, four humidity levels and three noise levels has how many conditions?

A

24

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5
Q

Refers to individual cells in a factorial design and the levels of independent variables

A

condition

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6
Q

A factorial design that uses the same participants for each condition

A

within-subject design

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7
Q

a factorial design that uses different participants for each condition

A

between-subject design

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8
Q

A factorial design that includes at least one between-subject variable and one within-subject variable

A

mixed-factorial design

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9
Q

Why use factorial designs?

A
  1. Examine the effect of multiple variables at once
  2. In real life multiple variables interact together
  3. Examining interactions between independent variables
  4. finding moderator variables
  5. efficient
  6. cheeper
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10
Q

The independent variable that has an overall effect on a dependant variable

A

main effect

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11
Q

When the independent variable influences a dependant variable differs depending on another independent variable

A

interaction effect

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12
Q

A variable that alters the strength or direction of a correlation

A

moderator variable

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13
Q

Limitations of factorial designs

A
  1. the total number of conditions might be too large to control
  2. Takes longer to conduct
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14
Q

A representative statistic for the average

A

cell mean

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15
Q

Analysis for dependant variables on an interval or ratio scale

A

ANOVA, analysis of variance

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16
Q

The effect of one independent variable at a particular level of another independent variable

A

simple main effect

17
Q

tests that are conducted after initial findings

A

post-hoc tests

18
Q

Order of tests conducted

A

ANOVA - test of simple main effects - post-hoc comparisons

19
Q

variables that are characteristics of the participants

A

subject variables

20
Q

How a participant reacts depending on the situation

A

situational factor

21
Q

An experimental design that uses one subject variable and one situational variable

A

person x situation factorial design

22
Q

quasi-independent variables

A

variables that cannot be manipulated but can distinguish different groups

23
Q

When two independent effect each other which influences the dependent variable

A

two-way interactions

24
Q

when two independent variables in fluence a third

A

three-way interaction

25
Q

Testing every possible order for each level

A

Complete counter balancing

26
Q

When each treatment condition will come in every possible order

A

latin square

27
Q

When each sequence comes only once, but requires an even number of levels

A

balanced latin sequence