Non-parametric alternatives to ANOVA Flashcards

1
Q

non-parametric tests

A
  • no population parameters
  • no stringent assumptions
  • can deal with small samples
  • data can be measured on any scale
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2
Q

parametric tests

A
  • population parameters
  • rigorous assumptions
  • minimum sample size required
  • require interval or ratio data
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3
Q

example of non-parametric tests

A

chi square test
kruskal wallis test
Friedman test

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4
Q

when to use non-parametric tests

A
  • data is non-normal
  • outliers
  • DV isn’t interval or ratio
  • assumptions are violated
  • small sample size
  • unequal sample sizes
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5
Q

why not use all the time?

A
  • parametric tests are more powerful and more likely to find differences
  • means, SD and error variances vs rankings and frequencies
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6
Q

Kruskal Wallis test is alternative to…

A

1 way between-subjects anova

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7
Q

alternative to 1 way between-subjects anova

A

Kruskal wallis test

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8
Q

what is the Kruskall wallis test/what does it do?

A

generalisation of mann whitney u

tests for sig. differences in 2+ groups of IV/factor on a continuous or ordinal DV

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9
Q

SPSS outputs for Kruskall wallis test

A

descriptive stats (report median)
ranks (mean rank)
test stats (X^2(df)=KW value, p= )

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10
Q

reporting results of non-parametric tests

A
  • present medians in a table or text
  • why was it selected (violated assumptions)
  • test type, effect of IVs on DV
  • test results (df, test statistic, p value)
  • post hoc results

interpret

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11
Q

follow up test for kruskall wallis test

A
  • planned follow up test
  • b-s, non-parametric alternative to independent t-test is mann whitney u
  • apply bonferroni adjustment
  • if KW test is sig. need to do followup pairwise analyses like in ANOVA
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12
Q

non-parametric alternative to 1-way with-subjects ANOVA

A

friedman test

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13
Q

what is the friedman test an alternative to?

A

non-parametric alternative to 1-way with-subjects ANOVA

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14
Q

what is the Friedman test and what does it test for?

A

generalisation of wilcoxon signed ranks

test for sig. difference in 2+ groups of IV/factor on a continuous or ordinal DV

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15
Q

SPSS outputs for friedman test

A

descriptive stats - medians
ranks - mean ranks = highest score
test stats - X^2(df)=chi-square, p value

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16
Q

followup tests for friedman test

A

w-s/repeated measures = sign test (alternative to related pairs t-test)
bonferroni adjustment applied