Independent Tests Flashcards

1
Q

what are independent t-tests?

A

compares the means of two independent groups

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2
Q

what do independent t-tests require?

A

parametric assumptions must be met

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3
Q

assuming the null hypothesis is true means that…

A

any difference is result of sampling variability and the two sets of scores come from the same population distribution

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4
Q

however, it may be…

A

that our difference reflects a real difference between the populations

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5
Q

what does SPSS output provide for a descriptive statistics of a t-test?

A

the mean and SD

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6
Q

what does SPSS output provide for inferential statistics of a t-test?

A

t-statistics, degrees of freedom, and p-value

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7
Q

t-value

A

this is important regardless of being positive or negative

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8
Q

when should the row of equal variances not assumed be met?

or using an equivalent non-parametric test

A

when there is a significant difference between group variances

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9
Q

write up of an independent t-test

A

an unrelated t-test found that the female group scored significantly higher than the male group t(14) = 2.409, p=0.03

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10
Q

mann-whitney u test

A
  • all observations from both groups are independent
  • responses are at least ordinal level
  • parametric assumptions do not need to be met
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11
Q

mann-whitney u null hypothesis

A

assumes the distribution of both groups is equal

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12
Q

what must be assumed when using a mann-whitney u test?

A

the probability of an observation from one population (X) exceeding an observation from the second population (Y) is more than 0.05

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13
Q

MW: what does SPSS output provide?

A

N and a mean rank

along with U-value, z-score, and p-value

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14
Q

what does MW write up require?

A

u-value, z-value, p-value

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15
Q

how are descriptive statistics reported for MW?

A

through the medians

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16
Q

MW write up example

A

a mann-whitney u test was undertaken.

the female group (mdn = 111.5) dd not score significantly higher then the male group (mdn = 104.5) in a verbal reasoning test (U = 15, Z = 1.8, p = 0.072).

17
Q

what are z-scores used as?

A

a measure between two means

18
Q

what is n?

A

the total of all observations

19
Q

calculating r (effect size)

A

r = Z√N

20
Q

effect size output

A

large: >0.05
medium: >0.03
small: <0.03