Week 8: Tests of Differences Non-parametric alternatives Flashcards

1
Q

proper SHT for testing the mean difference between the two independent groups?

A

Student’s t-test

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2
Q

applied when the mean differences were compared by multiple factors over time?

A

Mixed ANOVA

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3
Q

an extension of a Student’s t-test for multiple groups?

A

ANOVA

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4
Q

proper SHT for testing the mean differences between the two related groups?

A

Paired t-test

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5
Q

an extension of a paired t-test for multiple points in time?

A

Repeated measures ANOVA

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6
Q

applied when the mean differences were compared by multiple factors?

A

Factorial ANOVA

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7
Q

applied when the mean differences were compared controlling for a confounding variable?

A

Analysis of covariance (ANCOVA)

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8
Q

Parametric data -

A

Data is called parametric if normally distributed with equal variances

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9
Q

Assumptions for data to be parametric: (3)

A
  1. Data level of measurement to be continuous
  2. Normally distributed
  3. Equal variances across groups to compare
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10
Q

What tests are the most powerful on parametric data?

A

Parametric tests (student’s t-test, ANOVA)

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11
Q

Name four non-parametric tests used when data is non-parametric:

A
  1. Mann-whitney U test
  2. Wilcoxon signed-rank test
  3. Kruskal-wallis H test
  4. Friedman test
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12
Q

Non-parametric tests work on what principle?

A

the principle of ranking the data from smallest to largest (1 assigned to smallest score and n to the highest score)

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13
Q

Mann-whitney U test used in place of what for non-parametric data?

A
  • Student’s t-test

- test the mean difference between the two independent groups

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14
Q

Wilcoxon signed-rank test used in place of what for non-parametric data?

A
  • paired t-test

- test the mean difference between the two matched groups

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15
Q

Kruskal-wallis H test used in place of what for non-parametric data?

A
  • ANOVA

- test the mean difference between the three or more independent groups

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16
Q

Friedman test used in place of what for non-parametric data?

A
  • repeated measures ANOVA

- test the mean difference between the three or more related groups

17
Q

Non-parametric tests make what assumption on the distribution of data?

A

NO assumption

18
Q

Non-parametric tests are (less/more) powerful than parametric test on parametric data

A

LESS

19
Q

T/F Non-parametric tests are available when data is nonparametric at the cost of some power

A

True

20
Q

Why might Non-parametric test may not be testing the null hypothesis of interest?

A

Null hypotheses that can be studied using non-parametric tests tend to be very restrictive

21
Q

Non-parametric methods are focused on ____ rather than estimation.

A

Significance testing

22
Q

T/F Non-parametric test can’t calculate the confidence interval

A

True

23
Q

Mann-Whitney U test is used to compare (2, 3 or more) sets of scores that are (independent, related)

A

2

independent

24
Q

The Kruskal-Wallis H test is used to compare (2, 3 or more) sets of scores that are (independent, related)

A

3 or more

independent

25
Q

Wilcoxon signed-rank test is used to compare (2, 3 or more) sets of scores that are (independent, related)

A

2

related

26
Q

Friedman’s test is used to compare (2, 3 or more) sets of scores that are (independent, related)

A

3 or more

related

27
Q

Non-parametric test used to compare the difference between the mean alcohol consumption scores at the two institutions. What test used?

A

Mann-Whitney U test

28
Q

Need a SHT for comparing means for three independent groups?

A

ANOVA or Kruskal-Wallis H test

29
Q

Need a SHT for comparing means over time?

A

Repeated measures ANOVA or Friedman test

30
Q

Need a SHT for comparing means for two independent groups?

A

Student’s t-test or Mann-Whitney U test