Quiz questions Flashcards

(23 cards)

1
Q

To examine whether the pattern of means for one IV changes at different levels of another IV, we look at

A

Interaction effects

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2
Q

Moderation effects examine the question of

A

When and for whom

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3
Q

When examining assumptions for factorial ANOVA, the guidelines apply to

A

each cell

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4
Q

With negatively skewed data, we would normally use which transformation function

A

Reflect (k - x)

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5
Q

What is the goal of using C and K in the transformation process

A

Avoid zero and negative scores

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6
Q

Using which functionto transform data would require reversing the direction of interpretation

A

inverse

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7
Q

what is the degrees of freedom for the interaction effect

A

(a-1) * (b-1)

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8
Q

To enhance clarity, you would likely plot the IV with more levels as

A

Horizontal axis

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9
Q

The different perspectives in explaining the interaction effect is a matter of

A

Clarity when conceptualizing

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10
Q

For a 3-way ANOVA, how many total effects would there be?

A

7

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11
Q

SPSS defaults to which type of sum of squares

A

Type III

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12
Q

Which method ignores the effect of the other IV when there are unequal sample sizes?

A

Wheighted mean

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13
Q

For repeated measures, the focus is on

A

Within subjects

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14
Q

When one IV is between-group and the other IV is repeated measure which ANOVA measure would you use?

A

Mixed

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15
Q

Which assumtion applies to repeated-measures but not simple one-way ANOVA

A

Sphericity

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16
Q

When sphericity is violated, what is the preferred method of adjustment

17
Q

What is a way to address carryover effects

A

Counter balancing

18
Q

What are valid ways to handle missing data

A
  • Multiple imputation
  • delete the case
  • Full information maximum likelihood (FIML)
    -use mean for that variable or case
19
Q

mixed design is also known as

20
Q

For mixed disign studies, what types of IV’s are included

A

1 randomized group IV & 1 repeated-measure IV

21
Q

What is the df for SS(b)

22
Q

What is a disadvantage of mixed design ANOVA

A

need to fulfill various assumptions