Non Parametric Tests Flashcards

1
Q

What are assumptions for parametric tests?

A

1.the data are normally distributed
2.the groups that are being compared have similar variance
3.the data are independent

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2
Q

When to use non parametric tests?

A

If your data does not meet these assumptions you might still be able to use a nonparametric statistical test, which have fewer requirements but also make weaker
inferences.

One independent variable (factor), two conditions (levels)

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3
Q

What are within-subject and between-subject non parametric tests

A

Within-subjects
* Sign Test
* Wilcoxon Matched-Pairs test

Between-subjects
* Wilcoxon Rank-Sum test (or Mann-Whitney U test)

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4
Q

What are assumptions for the sign test?

A
  • Assumptions/ requirements:
  • Ordinal/scale data
  • Paired/Matched samples
  • Can test hypotheses about differences between the mean/median
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5
Q

Example write up of the sign test

A

Prior to the statistics class mean enjoyment of statistics was 4.67 whereas afterwards it was 6.33.

A sign test was conducted to compare the
before and after enjoyment scores with
the test revealing that 13 of the 15 students exhibited positive differences, p = .003 .

The results suggest that the implementation of a statistic class can
increase overall student enjoyment of
statistics.

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6
Q

Limitations of the sign test

A
  • The magnitude of the change is completely ignored –> Lacks
    power (i.e. the ability of a test to detect an effect of a particular
    size)
  • Ignores size of difference
  • Ignores tied scores
  • Only assesses two conditions
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7
Q

How to write up the Wilcoxon test

A

Prior to the statistics class mean enjoyment of statistics was 4.67
whereas afterwards it was 6.33.

A Wilcoxon matched-pairs test was conducted to compare the before and after enjoyment scores with the test revealing that 13 of the 15 students exhibited positive differences, z = -3, p = .003.

The results suggest that the implementation of a statistic class
can increase overall student enjoyment of statistics

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8
Q

Overview of the seminar

A
  • Why and when do we use non-parametric tests?
  • How do we conduct and interpret a sign test?
  • How do we conduct and interpret a Wilcoxon Matched
    Pairs?
  • How do we conduct and interpret a Wilcoxon
    rank-sum/Mann-Whitney?
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