Chapter 12 Flashcards

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1
Q

what is ANOVA

A

Comparing 3 or more means

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2
Q

how many IV does a one way ANOVA have

A

1 and 3 or more conditions (levels) of the IV

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3
Q

why should you not use a series of t tests to compare means

A

multiple t-tests on same data set will increase the probability of making a Type 1 error.

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4
Q

Post hoc test

A

Only if you reject Ho; tells you which groups are different from each other.

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5
Q

f test

A

Test to retain or reject the null. are all 3 means the same (retain), or is at least one mean significantly different from another (reject)

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6
Q

statistical hypothesis for ANOVA

A

Ho: μ1 = μ2 = μ3
Ha: not all μs are equal.

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7
Q

between group variability

A

Variability due to the IV &
Individual difference/chance

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8
Q

within group variability

A

Variability due to
individual differences/chance

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9
Q

F ratio, numerator and denominator

A

between-group variability divided by within-group variability.

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10
Q

what does a higher f ratio mean?

A

The higher your F-ratio, the bigger the effect of your IV

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11
Q

what does an F of 1 mean

A

An F = 1 means that the variability between your groups is equal to the variability due to chance.

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12
Q

what does it mean if F<1

A

F < 1 should not occur, in theory, but will occasionally because the w/in group varibility is > b/group variability. (But F will never be negative.

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13
Q

degrees of freedom between (ANOVA)

A

k-1 (where k = # of levels of
the independent variable).

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14
Q

df within (ANOVA)

A

df within: N - k.
(where N = total number of subjects inexperiment, k = # of levels of IV.)

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15
Q

df total ANOVA

A

N - 1

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16
Q

Tukeys HSD

A

The difference between the group means must exceed a particular value* in order to be a significant difference.

17
Q

Effect size for ANOVA

A

Eta squared= SSbn/SStot
In an anova, the proportion variance accounted for by your independent variable is called eta-squared